A Fault Diagnosis Approach for Broken Rotor Bars Based on EMD and Envelope Analysis
Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed recently. In this paper the EMD method is used to filter the noise from the stator current signal that arises when rotor bars break. Then a Hilbert Tr...
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Published in | Journal of China University of Mining and Technology Vol. 17; no. 2; pp. 205 - 209 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.06.2007
School of Information & Electrical Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China |
Subjects | |
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Abstract | Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed recently. In this paper the EMD method is used to filter the noise from the stator current signal that arises when rotor bars break. Then a Hilbert Transform is used to extract the envelope from the filtered signal. With the EMD method again, the frequency band containing the fault characteristic-frequency components, 2
sf, can be extracted from the signal's envelope. The last step is to use a Fast Fourier Transform (FFT) method to extract the fault characteristic frequency. This frequency can be detected in actual data from a faulty motor, as shown by example. Compared to the Extend Park Vector method this method is proved to be more sensitive under light motor load. |
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AbstractList | Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed recently. In this paper the EMD method is used to filter the noise from the stator current signal that arises when rotor bars break. Then a Hilbert Transform is used to extract the envelope from the filtered signal. With the EMD method again, the frequency band containing the fault characteristic-frequency components, 2sf, can be extracted from the signal's envelope. The last step is to use a Fast Fourier Transform (FFT) method to extract the fault characteristic frequency. This frequency can be detected in actual data from a faulty motor, as shown by example. Compared to the Extend Park Vector method this method is proved to be more sensitive under light motor load. Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed recently. In this paper the EMD method is used to filter the noise from the stator current signal that arises when rotor bars break. Then a Hilbert Transform is used to extract the envelope from the filtered signal. With the EMD method again, the frequency band containing the fault characteristic-frequency components, 2 sf, can be extracted from the signal's envelope. The last step is to use a Fast Fourier Transform (FFT) method to extract the fault characteristic frequency. This frequency can be detected in actual data from a faulty motor, as shown by example. Compared to the Extend Park Vector method this method is proved to be more sensitive under light motor load. TM343; Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed recently. In this paper the EMD method is used to filter the noise from the stator current signal that arises when rotor bars break. Then a Hilbert Transform is used to extract the envelope from the filtered signal. With the EMD method again, the frequency band containing the fault characteristic-frequency components, 2sf, can be extracted from the signal's envelope. The last step is to use a Fast Fourier Transform (FFT) method to extract the fault characteristic frequency. This frequency can be detected in actual data from a faulty motor, as shown by example. Compared to the Extend Park Vector method this method is proved to be more sensitive under light motor load. |
Author | YAO, Qi ZHU, Ning-hui ZHANG, Jian-wen YANG, Li LU, Qing |
AuthorAffiliation | School of Information & Electrical Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China |
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Cites_doi | 10.1109/28.845047 |
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References | Li, Song, Sun (bib3) 2003; 23 Li, Chen, Liu (bib4) 2002; 16 Li, Zhang, Tang (bib6) 2005; 34 Cheng, Yu (bib2) 2000; 27 Tan (bib5) 2001 Wang, Hou, Xia (bib9) 2002; 15 Liu, Zhang, Yin (bib8) 2002; 17 Xu, Li, Sun (bib7) 2004; 24 Mejjarih, Benbouzid (bib1) 2000; 36 Li (10.1016/S1006-1266(07)60073-X_bib3) 2003; 23 Liu (10.1016/S1006-1266(07)60073-X_bib8) 2002; 17 Mejjarih (10.1016/S1006-1266(07)60073-X_bib1) 2000; 36 Tan (10.1016/S1006-1266(07)60073-X_bib5) 2001 Li (10.1016/S1006-1266(07)60073-X_bib6) 2005; 34 Cheng (10.1016/S1006-1266(07)60073-X_bib2) 2000; 27 Xu (10.1016/S1006-1266(07)60073-X_bib7) 2004; 24 Li (10.1016/S1006-1266(07)60073-X_bib4) 2002; 16 Wang (10.1016/S1006-1266(07)60073-X_bib9) 2002; 15 |
References_xml | – volume: 15 start-page: 87 year: 2002 end-page: 90 ident: bib9 article-title: Diagnosis of induction motors electrical faults using a current park's vector pattern learning approach publication-title: Journal of Wuhan Institute of Science and Technology contributor: fullname: Xia – volume: 16 start-page: 92 year: 2002 end-page: 95 ident: bib4 article-title: Envelopment analysis and its application in the fault diagnosis publication-title: Journal of Test and Measurement Technology contributor: fullname: Liu – volume: 24 start-page: 115 year: 2004 end-page: 119 ident: bib7 article-title: A novel detection method for broken rotor bars in induction motors publication-title: Proceedings of the CSEE contributor: fullname: Sun – volume: 23 start-page: 291 year: 2003 end-page: 294 ident: bib3 article-title: Approach to extraction of fault features based on wavelet packet and envelope analysis publication-title: Journal of Vibration, Measurement & Diagnosis contributor: fullname: Sun – volume: 34 start-page: 11 year: 2005 end-page: 16 ident: bib6 article-title: Study on faults diagnosis of bearing based on EMD and envelope spectrum publication-title: Journal of Hebei University of Technology contributor: fullname: Tang – volume: 17 start-page: 89 year: 2002 end-page: 92 ident: bib8 article-title: A new approach of on-line condition monitoring and fault diagnosis for the squirrel-cage induction motor publication-title: Transactions of China Electrotechniacl Society contributor: fullname: Yin – volume: 36 start-page: 730 year: 2000 end-page: 735 ident: bib1 article-title: Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach publication-title: IEEE Trans. on Industry Application contributor: fullname: Benbouzid – year: 2001 ident: bib5 publication-title: The Research of Hilbert-Huang Transform Based on Multi-resolution Analysis contributor: fullname: Tan – volume: 27 start-page: 76 year: 2000 end-page: 80 ident: bib2 article-title: An envelope analysis approach based on wavelet transform publication-title: Journal of Hunan University (Natural Sciences Edition) contributor: fullname: Yu – volume: 15 start-page: 87 issue: 5 year: 2002 ident: 10.1016/S1006-1266(07)60073-X_bib9 article-title: Diagnosis of induction motors electrical faults using a current park's vector pattern learning approach publication-title: Journal of Wuhan Institute of Science and Technology contributor: fullname: Wang – volume: 16 start-page: 92 issue: 2 year: 2002 ident: 10.1016/S1006-1266(07)60073-X_bib4 article-title: Envelopment analysis and its application in the fault diagnosis publication-title: Journal of Test and Measurement Technology contributor: fullname: Li – volume: 23 start-page: 291 issue: 4 year: 2003 ident: 10.1016/S1006-1266(07)60073-X_bib3 article-title: Approach to extraction of fault features based on wavelet packet and envelope analysis publication-title: Journal of Vibration, Measurement & Diagnosis contributor: fullname: Li – year: 2001 ident: 10.1016/S1006-1266(07)60073-X_bib5 contributor: fullname: Tan – volume: 34 start-page: 11 issue: 1 year: 2005 ident: 10.1016/S1006-1266(07)60073-X_bib6 article-title: Study on faults diagnosis of bearing based on EMD and envelope spectrum publication-title: Journal of Hebei University of Technology contributor: fullname: Li – volume: 24 start-page: 115 issue: 5 year: 2004 ident: 10.1016/S1006-1266(07)60073-X_bib7 article-title: A novel detection method for broken rotor bars in induction motors publication-title: Proceedings of the CSEE contributor: fullname: Xu – volume: 36 start-page: 730 issue: 3 year: 2000 ident: 10.1016/S1006-1266(07)60073-X_bib1 article-title: Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach publication-title: IEEE Trans. on Industry Application doi: 10.1109/28.845047 contributor: fullname: Mejjarih – volume: 27 start-page: 76 issue: 4 year: 2000 ident: 10.1016/S1006-1266(07)60073-X_bib2 article-title: An envelope analysis approach based on wavelet transform publication-title: Journal of Hunan University (Natural Sciences Edition) contributor: fullname: Cheng – volume: 17 start-page: 89 issue: 1 year: 2002 ident: 10.1016/S1006-1266(07)60073-X_bib8 article-title: A new approach of on-line condition monitoring and fault diagnosis for the squirrel-cage induction motor publication-title: Transactions of China Electrotechniacl Society contributor: fullname: Liu |
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Snippet | Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed recently.... TM343; Empirical Mode Decomposition (EMD) used to deal with non-linear and non-stable signals, is a time-frequency analytical method that has been developed... |
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SubjectTerms | analysis of envelope EMD fault of broken rotor bar TM 343.3 |
Title | A Fault Diagnosis Approach for Broken Rotor Bars Based on EMD and Envelope Analysis |
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