Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery
2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lei, Yaguo [verfasserIn] |
|---|
| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Oxford, United Kingdom: Elsevier ; 2017 |
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| Schlagwörter: |
Expert systems (Computer science) TECHNOLOGY & ENGINEERING ; Mechanical |
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| Formangabe: |
Electronic books |
| Anmerkung: |
Includes bibliographical references at the end of each chapters and index |
|---|---|
| Umfang: |
1 Online-Ressource |
| Links: | |
|---|---|
| ISBN: |
0-12-811535-1 978-0-12-811535-0 |
| Katalog-ID: |
1685487696 |
|---|
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| 245 | 1 | 0 | |a Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery |c Yaguo Lei |
| 264 | 1 | |a Oxford, United Kingdom |b Elsevier |c 2017 | |
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| 500 | |a Includes bibliographical references at the end of each chapters and index | ||
| 520 | |a 2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm | ||
| 520 | |a 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation | ||
| 520 | |a 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction | ||
| 520 | |a 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method | ||
| 520 | |a 3.3.2.1 -- Introduction | ||
| 520 | |a Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis | ||
| 650 | 0 | |a Electric machinery |x Rotors | |
| 650 | 0 | |a Expert systems (Computer science) | |
| 650 | 0 | |a Fault location (Engineering) | |
| 650 | 0 | |a Fault location (Engineering) | |
| 650 | 0 | |a Expert systems (Computer science) | |
| 650 | 0 | |a Electric machinery |x Rotors | |
| 650 | 4 | |a TECHNOLOGY & ENGINEERING ; Mechanical | |
| 650 | 4 | |a Electric machinery ; Rotors | |
| 650 | 4 | |a Expert systems (Computer science) | |
| 650 | 4 | |a Fault location (Engineering) | |
| 650 | 4 | |a Détection de défaut (Ingénierie) |0 (CaQQLa)201-0138143 | |
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0128115351 electronic bk. 0-12-811535-1 9780128115350 : electronic bk. 978-0-12-811535-0 (DE-627)1685487696 (DE-576)517986736 (DE-599)KEP003096866 (OCoLC)962413143 (OCoLC)962413143 (EBP)003096866 (ELSEVIER)ocn962413143 DE-627 eng DE-627 rda eng XA-GB TJ1058 TEC 009070 bisacsh TEC 009070 bisacsh Lei, Yaguo verfasserin aut Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Yaguo Lei Oxford, United Kingdom Elsevier 2017 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references at the end of each chapters and index 2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method 3.3.2.1 -- Introduction Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis Electric machinery Rotors Expert systems (Computer science) Fault location (Engineering) Fault location (Engineering) Expert systems (Computer science) Electric machinery Rotors TECHNOLOGY & ENGINEERING ; Mechanical Electric machinery ; Rotors Expert systems (Computer science) Fault location (Engineering) Détection de défaut (Ingénierie) (CaQQLa)201-0138143 Systèmes experts (Informatique) (CaQQLa)201-0124822 Electronic books Electronic books 0128115343 Erscheint auch als Druck-Ausgabe Lei, Yaguo Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Oxford, United Kingdom : Elsevier, 2017 0128115343 9780128115343 http://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag Volltext https://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag lizenzpflichtig (DE-627)879421290 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EGE 2017 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 621.31042 105 01 0841 4074554690 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500002227 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514692441 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279955 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520359430 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046051760 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780128115343 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128115343 185 01 3519 http://www.sciencedirect.com/science/book/9780128115343 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128115343 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128115343 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128115343 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| spelling |
0128115351 electronic bk. 0-12-811535-1 9780128115350 : electronic bk. 978-0-12-811535-0 (DE-627)1685487696 (DE-576)517986736 (DE-599)KEP003096866 (OCoLC)962413143 (OCoLC)962413143 (EBP)003096866 (ELSEVIER)ocn962413143 DE-627 eng DE-627 rda eng XA-GB TJ1058 TEC 009070 bisacsh TEC 009070 bisacsh Lei, Yaguo verfasserin aut Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Yaguo Lei Oxford, United Kingdom Elsevier 2017 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references at the end of each chapters and index 2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method 3.3.2.1 -- Introduction Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis Electric machinery Rotors Expert systems (Computer science) Fault location (Engineering) Fault location (Engineering) Expert systems (Computer science) Electric machinery Rotors TECHNOLOGY & ENGINEERING ; Mechanical Electric machinery ; Rotors Expert systems (Computer science) Fault location (Engineering) Détection de défaut (Ingénierie) (CaQQLa)201-0138143 Systèmes experts (Informatique) (CaQQLa)201-0124822 Electronic books Electronic books 0128115343 Erscheint auch als Druck-Ausgabe Lei, Yaguo Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Oxford, United Kingdom : Elsevier, 2017 0128115343 9780128115343 http://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag Volltext https://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag lizenzpflichtig (DE-627)879421290 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EGE 2017 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 621.31042 105 01 0841 4074554690 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500002227 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514692441 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279955 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520359430 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046051760 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780128115343 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128115343 185 01 3519 http://www.sciencedirect.com/science/book/9780128115343 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128115343 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128115343 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128115343 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| allfields_unstemmed |
0128115351 electronic bk. 0-12-811535-1 9780128115350 : electronic bk. 978-0-12-811535-0 (DE-627)1685487696 (DE-576)517986736 (DE-599)KEP003096866 (OCoLC)962413143 (OCoLC)962413143 (EBP)003096866 (ELSEVIER)ocn962413143 DE-627 eng DE-627 rda eng XA-GB TJ1058 TEC 009070 bisacsh TEC 009070 bisacsh Lei, Yaguo verfasserin aut Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Yaguo Lei Oxford, United Kingdom Elsevier 2017 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references at the end of each chapters and index 2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method 3.3.2.1 -- Introduction Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis Electric machinery Rotors Expert systems (Computer science) Fault location (Engineering) Fault location (Engineering) Expert systems (Computer science) Electric machinery Rotors TECHNOLOGY & ENGINEERING ; Mechanical Electric machinery ; Rotors Expert systems (Computer science) Fault location (Engineering) Détection de défaut (Ingénierie) (CaQQLa)201-0138143 Systèmes experts (Informatique) (CaQQLa)201-0124822 Electronic books Electronic books 0128115343 Erscheint auch als Druck-Ausgabe Lei, Yaguo Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Oxford, United Kingdom : Elsevier, 2017 0128115343 9780128115343 http://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag Volltext https://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag lizenzpflichtig (DE-627)879421290 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EGE 2017 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 621.31042 105 01 0841 4074554690 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500002227 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514692441 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279955 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520359430 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046051760 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780128115343 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128115343 185 01 3519 http://www.sciencedirect.com/science/book/9780128115343 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128115343 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128115343 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128115343 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| allfieldsGer |
0128115351 electronic bk. 0-12-811535-1 9780128115350 : electronic bk. 978-0-12-811535-0 (DE-627)1685487696 (DE-576)517986736 (DE-599)KEP003096866 (OCoLC)962413143 (OCoLC)962413143 (EBP)003096866 (ELSEVIER)ocn962413143 DE-627 eng DE-627 rda eng XA-GB TJ1058 TEC 009070 bisacsh TEC 009070 bisacsh Lei, Yaguo verfasserin aut Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Yaguo Lei Oxford, United Kingdom Elsevier 2017 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references at the end of each chapters and index 2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method 3.3.2.1 -- Introduction Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis Electric machinery Rotors Expert systems (Computer science) Fault location (Engineering) Fault location (Engineering) Expert systems (Computer science) Electric machinery Rotors TECHNOLOGY & ENGINEERING ; Mechanical Electric machinery ; Rotors Expert systems (Computer science) Fault location (Engineering) Détection de défaut (Ingénierie) (CaQQLa)201-0138143 Systèmes experts (Informatique) (CaQQLa)201-0124822 Electronic books Electronic books 0128115343 Erscheint auch als Druck-Ausgabe Lei, Yaguo Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery Oxford, United Kingdom : Elsevier, 2017 0128115343 9780128115343 http://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag Volltext https://www.sciencedirect.com/science/book/9780128115343 X:ELSEVIER Verlag lizenzpflichtig (DE-627)879421290 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EGE 2017 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 621.31042 105 01 0841 4074554690 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500002227 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 4514692441 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279955 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520359430 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046051760 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780128115343 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128115343 185 01 3519 http://www.sciencedirect.com/science/book/9780128115343 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128115343 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128115343 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128115343 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
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2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method 3.3.2.1 -- Introduction Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis Includes bibliographical references at the end of each chapters and index |
| abstractGer |
2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method 3.3.2.1 -- Introduction Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis Includes bibliographical references at the end of each chapters and index |
| abstract_unstemmed |
2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm 2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation 3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction 3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method 3.3.2.1 -- Introduction Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis Includes bibliographical references at the end of each chapters and index |
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2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 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3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">3.3.2.1 -- Introduction</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 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