Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment

In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly...
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Gespeichert in:

Autor*in:	Amit Umbrajkaar [verfasserIn] Arunagiri Krishnamoorthy [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	discrete wavelet transforms (DWT) misalignment overall vibration level (OVL) fuzzy inference system (FIS) and degree of misalignment (DoM)

Übergeordnetes Werk:	In: Journal of Vibroengineering - Extrica, 2018, 20(2018), 8, Seite 2855-2865
Übergeordnetes Werk:	volume:20 ; year:2018 ; number:8 ; pages:2855-2865

Links:	Link aufrufen Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.21595/jve.2018.19611

Katalog-ID:	DOAJ021510806

Internformat


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520			\|a In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly of parts. This paper presents a method of misalignment prediction from output vibration signal which is based on combined DWT (Discrete Wavelet Transform) and Fuzzy Logic approach. DWT helps in multilevel decomposition of vibration signal to understand where and at what instant misalignment occurs. This involves selection of mother wavelet. The FIS (Fuzzy Inference System) is combined with DWT to predict degree of misalignment present. An inclusion of FIS has improved prediction accuracy of Degree of Misalignment (DoM) which has claimed error less than one percent (1 %).
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spelling	10.21595/jve.2018.19611 doi (DE-627)DOAJ021510806 (DE-599)DOAJ2abfc1885fe544acb8944b5d26d51e59 DE-627 ger DE-627 rakwb eng TJ1-1570 Amit Umbrajkaar verfasserin aut Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly of parts. This paper presents a method of misalignment prediction from output vibration signal which is based on combined DWT (Discrete Wavelet Transform) and Fuzzy Logic approach. DWT helps in multilevel decomposition of vibration signal to understand where and at what instant misalignment occurs. This involves selection of mother wavelet. The FIS (Fuzzy Inference System) is combined with DWT to predict degree of misalignment present. An inclusion of FIS has improved prediction accuracy of Degree of Misalignment (DoM) which has claimed error less than one percent (1 %). discrete wavelet transforms (DWT) misalignment overall vibration level (OVL) fuzzy inference system (FIS) and degree of misalignment (DoM) Mechanical engineering and machinery Arunagiri Krishnamoorthy verfasserin aut In Journal of Vibroengineering Extrica, 2018 20(2018), 8, Seite 2855-2865 (DE-627)1031028048 25388460 nnns volume:20 year:2018 number:8 pages:2855-2865 https://doi.org/10.21595/jve.2018.19611 kostenfrei https://doaj.org/article/2abfc1885fe544acb8944b5d26d51e59 kostenfrei https://www.extrica.com/article/19611 kostenfrei https://www.extrica.com/article/19611/pdf kostenfrei https://doaj.org/toc/1392-8716 Journal toc kostenfrei https://doaj.org/toc/2538-8460 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2018 8 2855-2865
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allfieldsGer	10.21595/jve.2018.19611 doi (DE-627)DOAJ021510806 (DE-599)DOAJ2abfc1885fe544acb8944b5d26d51e59 DE-627 ger DE-627 rakwb eng TJ1-1570 Amit Umbrajkaar verfasserin aut Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly of parts. This paper presents a method of misalignment prediction from output vibration signal which is based on combined DWT (Discrete Wavelet Transform) and Fuzzy Logic approach. DWT helps in multilevel decomposition of vibration signal to understand where and at what instant misalignment occurs. This involves selection of mother wavelet. The FIS (Fuzzy Inference System) is combined with DWT to predict degree of misalignment present. An inclusion of FIS has improved prediction accuracy of Degree of Misalignment (DoM) which has claimed error less than one percent (1 %). discrete wavelet transforms (DWT) misalignment overall vibration level (OVL) fuzzy inference system (FIS) and degree of misalignment (DoM) Mechanical engineering and machinery Arunagiri Krishnamoorthy verfasserin aut In Journal of Vibroengineering Extrica, 2018 20(2018), 8, Seite 2855-2865 (DE-627)1031028048 25388460 nnns volume:20 year:2018 number:8 pages:2855-2865 https://doi.org/10.21595/jve.2018.19611 kostenfrei https://doaj.org/article/2abfc1885fe544acb8944b5d26d51e59 kostenfrei https://www.extrica.com/article/19611 kostenfrei https://www.extrica.com/article/19611/pdf kostenfrei https://doaj.org/toc/1392-8716 Journal toc kostenfrei https://doaj.org/toc/2538-8460 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2018 8 2855-2865
allfieldsSound	10.21595/jve.2018.19611 doi (DE-627)DOAJ021510806 (DE-599)DOAJ2abfc1885fe544acb8944b5d26d51e59 DE-627 ger DE-627 rakwb eng TJ1-1570 Amit Umbrajkaar verfasserin aut Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly of parts. This paper presents a method of misalignment prediction from output vibration signal which is based on combined DWT (Discrete Wavelet Transform) and Fuzzy Logic approach. DWT helps in multilevel decomposition of vibration signal to understand where and at what instant misalignment occurs. This involves selection of mother wavelet. The FIS (Fuzzy Inference System) is combined with DWT to predict degree of misalignment present. An inclusion of FIS has improved prediction accuracy of Degree of Misalignment (DoM) which has claimed error less than one percent (1 %). discrete wavelet transforms (DWT) misalignment overall vibration level (OVL) fuzzy inference system (FIS) and degree of misalignment (DoM) Mechanical engineering and machinery Arunagiri Krishnamoorthy verfasserin aut In Journal of Vibroengineering Extrica, 2018 20(2018), 8, Seite 2855-2865 (DE-627)1031028048 25388460 nnns volume:20 year:2018 number:8 pages:2855-2865 https://doi.org/10.21595/jve.2018.19611 kostenfrei https://doaj.org/article/2abfc1885fe544acb8944b5d26d51e59 kostenfrei https://www.extrica.com/article/19611 kostenfrei https://www.extrica.com/article/19611/pdf kostenfrei https://doaj.org/toc/1392-8716 Journal toc kostenfrei https://doaj.org/toc/2538-8460 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2018 8 2855-2865
language	English
source	In Journal of Vibroengineering 20(2018), 8, Seite 2855-2865 volume:20 year:2018 number:8 pages:2855-2865
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topic_facet	discrete wavelet transforms (DWT) misalignment overall vibration level (OVL) fuzzy inference system (FIS) and degree of misalignment (DoM) Mechanical engineering and machinery
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callnumber-first	T - Technology
author	Amit Umbrajkaar
spellingShingle	Amit Umbrajkaar misc TJ1-1570 misc discrete wavelet transforms (DWT) misc misalignment misc overall vibration level (OVL) misc fuzzy inference system (FIS) misc and degree of misalignment (DoM) misc Mechanical engineering and machinery Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment
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topic_title	TJ1-1570 Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment discrete wavelet transforms (DWT) misalignment overall vibration level (OVL) fuzzy inference system (FIS) and degree of misalignment (DoM)
topic	misc TJ1-1570 misc discrete wavelet transforms (DWT) misc misalignment misc overall vibration level (OVL) misc fuzzy inference system (FIS) misc and degree of misalignment (DoM) misc Mechanical engineering and machinery
topic_unstemmed	misc TJ1-1570 misc discrete wavelet transforms (DWT) misc misalignment misc overall vibration level (OVL) misc fuzzy inference system (FIS) misc and degree of misalignment (DoM) misc Mechanical engineering and machinery
topic_browse	misc TJ1-1570 misc discrete wavelet transforms (DWT) misc misalignment misc overall vibration level (OVL) misc fuzzy inference system (FIS) misc and degree of misalignment (DoM) misc Mechanical engineering and machinery
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title	Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment
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title_full	Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment
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title_sort	vibration analysis using wavelet transform and fuzzy logic for shaft misalignment
callnumber	TJ1-1570
title_auth	Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment
abstract	In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly of parts. This paper presents a method of misalignment prediction from output vibration signal which is based on combined DWT (Discrete Wavelet Transform) and Fuzzy Logic approach. DWT helps in multilevel decomposition of vibration signal to understand where and at what instant misalignment occurs. This involves selection of mother wavelet. The FIS (Fuzzy Inference System) is combined with DWT to predict degree of misalignment present. An inclusion of FIS has improved prediction accuracy of Degree of Misalignment (DoM) which has claimed error less than one percent (1 %).
abstractGer	In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly of parts. This paper presents a method of misalignment prediction from output vibration signal which is based on combined DWT (Discrete Wavelet Transform) and Fuzzy Logic approach. DWT helps in multilevel decomposition of vibration signal to understand where and at what instant misalignment occurs. This involves selection of mother wavelet. The FIS (Fuzzy Inference System) is combined with DWT to predict degree of misalignment present. An inclusion of FIS has improved prediction accuracy of Degree of Misalignment (DoM) which has claimed error less than one percent (1 %).
abstract_unstemmed	In most of rotating kind of machinery, misalignment is commonly observed defect. Though machines are installed to zero-zero aligned condition in initial stage, in due course of run time operation misalignment get introduced due thermal distortion, asymmetry of forces exerted and inadequate assembly of parts. This paper presents a method of misalignment prediction from output vibration signal which is based on combined DWT (Discrete Wavelet Transform) and Fuzzy Logic approach. DWT helps in multilevel decomposition of vibration signal to understand where and at what instant misalignment occurs. This involves selection of mother wavelet. The FIS (Fuzzy Inference System) is combined with DWT to predict degree of misalignment present. An inclusion of FIS has improved prediction accuracy of Degree of Misalignment (DoM) which has claimed error less than one percent (1 %).
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container_issue	8
title_short	Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment
url	https://doi.org/10.21595/jve.2018.19611 https://doaj.org/article/2abfc1885fe544acb8944b5d26d51e59 https://www.extrica.com/article/19611 https://www.extrica.com/article/19611/pdf https://doaj.org/toc/1392-8716 https://doaj.org/toc/2538-8460
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up_date	2024-07-03T21:19:20.224Z
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Vibration analysis using wavelet transform and fuzzy logic for shaft misalignment

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