Application of Wavelet Transform to Damage Identification in the Steel Structure Elements
This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with...
Ausführliche Beschreibung
Autor*in: |
Anna Knitter-Piątkowska [verfasserIn] Arkadiusz Dobrzycki [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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In: Applied Sciences - MDPI AG, 2012, 10(2020), 22, p 8198 |
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Übergeordnetes Werk: |
volume:10 ; year:2020 ; number:22, p 8198 |
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DOI / URN: |
10.3390/app10228198 |
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Katalog-ID: |
DOAJ009232001 |
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520 | |a This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. | ||
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10.3390/app10228198 doi (DE-627)DOAJ009232001 (DE-599)DOAJ0056ad6749fa4fba8a69d0d703c499e1 DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Anna Knitter-Piątkowska verfasserin aut Application of Wavelet Transform to Damage Identification in the Steel Structure Elements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. wavelet transform construction diagnostics non-destructive testing acoustic emission method Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Arkadiusz Dobrzycki verfasserin aut In Applied Sciences MDPI AG, 2012 10(2020), 22, p 8198 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:10 year:2020 number:22, p 8198 https://doi.org/10.3390/app10228198 kostenfrei https://doaj.org/article/0056ad6749fa4fba8a69d0d703c499e1 kostenfrei https://www.mdpi.com/2076-3417/10/22/8198 kostenfrei https://doaj.org/toc/2076-3417 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_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_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 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 10 2020 22, p 8198 |
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10.3390/app10228198 doi (DE-627)DOAJ009232001 (DE-599)DOAJ0056ad6749fa4fba8a69d0d703c499e1 DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Anna Knitter-Piątkowska verfasserin aut Application of Wavelet Transform to Damage Identification in the Steel Structure Elements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. wavelet transform construction diagnostics non-destructive testing acoustic emission method Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Arkadiusz Dobrzycki verfasserin aut In Applied Sciences MDPI AG, 2012 10(2020), 22, p 8198 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:10 year:2020 number:22, p 8198 https://doi.org/10.3390/app10228198 kostenfrei https://doaj.org/article/0056ad6749fa4fba8a69d0d703c499e1 kostenfrei https://www.mdpi.com/2076-3417/10/22/8198 kostenfrei https://doaj.org/toc/2076-3417 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_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_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 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 10 2020 22, p 8198 |
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10.3390/app10228198 doi (DE-627)DOAJ009232001 (DE-599)DOAJ0056ad6749fa4fba8a69d0d703c499e1 DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Anna Knitter-Piątkowska verfasserin aut Application of Wavelet Transform to Damage Identification in the Steel Structure Elements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. wavelet transform construction diagnostics non-destructive testing acoustic emission method Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Arkadiusz Dobrzycki verfasserin aut In Applied Sciences MDPI AG, 2012 10(2020), 22, p 8198 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:10 year:2020 number:22, p 8198 https://doi.org/10.3390/app10228198 kostenfrei https://doaj.org/article/0056ad6749fa4fba8a69d0d703c499e1 kostenfrei https://www.mdpi.com/2076-3417/10/22/8198 kostenfrei https://doaj.org/toc/2076-3417 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_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_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 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 10 2020 22, p 8198 |
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10.3390/app10228198 doi (DE-627)DOAJ009232001 (DE-599)DOAJ0056ad6749fa4fba8a69d0d703c499e1 DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Anna Knitter-Piątkowska verfasserin aut Application of Wavelet Transform to Damage Identification in the Steel Structure Elements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. wavelet transform construction diagnostics non-destructive testing acoustic emission method Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Arkadiusz Dobrzycki verfasserin aut In Applied Sciences MDPI AG, 2012 10(2020), 22, p 8198 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:10 year:2020 number:22, p 8198 https://doi.org/10.3390/app10228198 kostenfrei https://doaj.org/article/0056ad6749fa4fba8a69d0d703c499e1 kostenfrei https://www.mdpi.com/2076-3417/10/22/8198 kostenfrei https://doaj.org/toc/2076-3417 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_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_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 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 10 2020 22, p 8198 |
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Application of Wavelet Transform to Damage Identification in the Steel Structure Elements |
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This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. |
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This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. |
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This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated. |
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|
score |
7.3984203 |