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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Main Authors: Baoshan Huang, Guojin Feng, Xiaoli Tang, James Xi Gu, Guanghua Xu, Robert Cattley, Fengshou Gu, Andrew D. Ball
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
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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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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