Vibration Based Broken Bar Detection in Induction Machine for Low Load Conditions
A new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, d...
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Published in | Advances in Electrical and Computer Engineering Vol. 17; no. 1; pp. 49 - 54 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Suceava
Stefan cel Mare University of Suceava
01.01.2017
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Abstract | A new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, detection of the broken bar was conducted by observing fault frequency content of the modulus of the analytical vibration signal. A broken bar feature is extracted from low frequency range even for low slip conditions. Although this method is successfully used for broken bar detection based on current signal analysis, it is important to verify the method when vibration signal is measured. Procedure is verified in a real industrial environment for induction motor of 3.15 MW. |
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AbstractList | A new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, detection of the broken bar was conducted by observing fault frequency content of the modulus of the analytical vibration signal. A broken bar feature is extracted from low frequency range even for low slip conditions. Although this method is successfully used for broken bar detection based on current signal analysis, it is important to verify the method when vibration signal is measured. Procedure is verified in a real industrial environment for induction motor of 3.15 MW. A new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, detection of the broken bar was conducted by observing fault frequency content of the modulus of the analytical vibration signal. A broken bar feature is extracted from low frequency range even for low slip conditions. Although this method is successfully used for broken bar detection based on current signal analysis, it is important to verify the method when vibration signal is measured. Procedure is verified in a real industrial environment for induction motor of 3.15 MW. Index Terms--motor, bar, vibration, fault, detection. |
Audience | Academic |
Author | Kanovic, Zeljko Matic, Dragan |
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References | Kanovic (10.1109/DEMPED.2013.6645698) 2013 Nandi (10.1109/TEC.2005.847955) 2005; 20 KULIC (10.4316/AECE.2011.01008) 2011; 11 Choqueuse (10.1109/TIE.2011.2160138) 2012; 59 Concari (10.1109/TIE.2012.2228142) 2013; 60 Picazo-Rodenas (10.1109/TIA.2014.2382880) 2015; 51 Pineda-Sanchez (10.1109/DEMPED.2013.6645699) 2013 Ghorbanian (10.1016/j.ymssp.2014.08.022) 2015; 54-55 SAAVEDRA (10.4316/AECE.2014.04008) 2014; 14 Obuchowski (10.1016/j.measurement.2016.03.034) 2016; 88 Amarnath (10.1016/j.measurement.2014.08.015) 2014; 58 Kim (10.1109/TIE.2012.2227912) 2013; 60 Matic (10.1016/j.eswa.2012.01.214) 2012; 39 Gopinath (10.1016/j.eswa.2015.09.043) 2016; 45 Climente-Alarcon (10.1109/TIA.2013.2265872) 2013; 49 SENGULER (10.4316/AECE.2010.03006) 2010; 10 Puche-Panadero (10.1109/TEC.2008.2003207) 2009; 24 Sapena-Bano (10.1109/TIM.2015.2444240) 2015; 64 SAMIRMI (10.4316/AECE.2015.04015) 2015; 15 Benbouzid (10.1109/TEC.2003.811741) 2003; 18 Mehrjou (10.1109/SCORED.2015.7449388) 2015 RELJIC (10.4316/AECE.2016.04010) 2016; 16 Pineda-Sanchez (10.1109/TIE.2010.2050755) 2011; 58 Pons-Llinares (10.1109/TIE.2010.2081955) 2011; 58 Matic (10.1109/DEMPED.2013.6645748) 2013 Biswal (10.1016/j.proeng.2016.05.137) 2016; 144 |
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SubjectTerms | Animal behavior bar detection Digital signal processors Dynamic testing Electromagnetism fault Feature extraction Frequency ranges Induction electric motors Induction motors Mathematical analysis Mechanical properties Methods motor Observations Signal analysis Signal processing Slip Testing Vibration Vibration analysis Vibration measurement Wavelet transforms |
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Title | Vibration Based Broken Bar Detection in Induction Machine for Low Load Conditions |
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