A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems
This paper investigates the performance of the conventional bispectrum (CB) method and its new variant, the modulation signal bispectrum (MSB) method, in analysing the electrical current signals of induction machines for the condition monitoring of rotor systems driven by electrical motors. Current...
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MDPI AG
2019-04-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/12/8/1438 |
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author | Baoshan Huang Guojin Feng Xiaoli Tang James Xi Gu Guanghua Xu Robert Cattley Fengshou Gu Andrew D. Ball |
author_facet | Baoshan Huang Guojin Feng Xiaoli Tang James Xi Gu Guanghua Xu Robert Cattley Fengshou Gu Andrew D. Ball |
author_sort | Baoshan Huang |
collection | DOAJ |
description | This paper investigates the performance of the conventional bispectrum (CB) method and its new variant, the modulation signal bispectrum (MSB) method, in analysing the electrical current signals of induction machines for the condition monitoring of rotor systems driven by electrical motors. Current signal models which include the phases of the various electrical and magnetic quantities are explained first to show the theoretical relationships of spectral sidebands and their associated phases due to rotor faults. It then discusses the inefficiency of CB and the proficiency of MSB in characterising the sidebands based on simulated signals. Finally, these two methods are applied to analyse current signals measured from different rotor faults, including broken rotor bar (BRB), downstream gearbox wear progressions and various compressor faults, and the diagnostic results show that the MSB outperforms the CB method significantly in that it provides more accurate and sparse diagnostics, thanks to its unique capability of nonlinear modulation detection and random noise suppression. |
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format | Article |
id | doaj.art-db606ea54ae44a5580192da5545799cc |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-14T03:24:03Z |
publishDate | 2019-04-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-db606ea54ae44a5580192da5545799cc2022-12-22T02:15:14ZengMDPI AGEnergies1996-10732019-04-01128143810.3390/en12081438en12081438A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven SystemsBaoshan Huang0Guojin Feng1Xiaoli Tang2James Xi Gu3Guanghua Xu4Robert Cattley5Fengshou Gu6Andrew D. Ball7School of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, ChinaDepartment of Mechanical, Aerospace and Civil Engineering, Brunel University London, Uxbridge, Middlesex UB8 3PH, UKCentre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKSchool of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaCentre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKCentre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKCentre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKThis paper investigates the performance of the conventional bispectrum (CB) method and its new variant, the modulation signal bispectrum (MSB) method, in analysing the electrical current signals of induction machines for the condition monitoring of rotor systems driven by electrical motors. Current signal models which include the phases of the various electrical and magnetic quantities are explained first to show the theoretical relationships of spectral sidebands and their associated phases due to rotor faults. It then discusses the inefficiency of CB and the proficiency of MSB in characterising the sidebands based on simulated signals. Finally, these two methods are applied to analyse current signals measured from different rotor faults, including broken rotor bar (BRB), downstream gearbox wear progressions and various compressor faults, and the diagnostic results show that the MSB outperforms the CB method significantly in that it provides more accurate and sparse diagnostics, thanks to its unique capability of nonlinear modulation detection and random noise suppression.https://www.mdpi.com/1996-1073/12/8/1438modulation signal bispectrumhigher order spectrafault diagnosisinduction motorgearboxreciprocating compressor |
spellingShingle | Baoshan Huang Guojin Feng Xiaoli Tang James Xi Gu Guanghua Xu Robert Cattley Fengshou Gu Andrew D. Ball A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems Energies modulation signal bispectrum higher order spectra fault diagnosis induction motor gearbox reciprocating compressor |
title | A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems |
title_full | A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems |
title_fullStr | A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems |
title_full_unstemmed | A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems |
title_short | A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems |
title_sort | performance evaluation of two bispectrum analysis methods applied to electrical current signals for monitoring induction motor driven systems |
topic | modulation signal bispectrum higher order spectra fault diagnosis induction motor gearbox reciprocating compressor |
url | https://www.mdpi.com/1996-1073/12/8/1438 |
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