A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems

Baoshan Huang, Guojin Feng, Xiaoli Tang, James Xi Gu, Guanghua Xu, Robert Cattley, Fengshou Gu, Andrew Ball

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number1438
Number of pages23
JournalEnergies
Volume12
Issue number8
DOIs
Publication statusPublished - 15 Apr 2019

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Bispectrum
Induction Motor
Induction motors
Performance Evaluation
Rotors
Modulation
Monitoring
Rotor
Fault
Condition monitoring
Diagnostics
Compressors
Induction Machine
Noise Suppression
Wear of materials
Gearbox
Condition Monitoring
Random Noise
Compressor
Progression

Cite this

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title = "A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems",
abstract = "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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A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems. / Huang, Baoshan; Feng, Guojin; Tang, Xiaoli; Gu, James Xi; Xu, Guanghua; Cattley, Robert; Gu, Fengshou; Ball, Andrew.

In: Energies, Vol. 12, No. 8, 1438, 15.04.2019.

Research output: Contribution to journalArticle

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T1 - A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems

AU - Huang, Baoshan

AU - Feng, Guojin

AU - Tang, Xiaoli

AU - Gu, James Xi

AU - Xu, Guanghua

AU - Cattley, Robert

AU - Gu, Fengshou

AU - Ball, Andrew

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AB - 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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KW - gearbox

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