A performance evaluation of two bispectrum analysis methods applied to electrical current signals for monitoring induction motor-driven systems

Huang, Baoshan, Feng, Guojin ORCID: 0000-0001-9937-910X, Tang, Xiaoli ORCID: 0000-0003-4428-0895, Gu, James Xi, Xu, Guanghua, Cattley, Robert, Gu, Fengshou ORCID: 0000-0003-4907-525X and Ball, Andrew D. ORCID: 0000-0002-8593-6830 (2019) A performance evaluation of two bispectrum analysis methods applied to electrical current signals for monitoring induction motor-driven systems. Energies, 12 (8). e1438. ISSN 1996-1073

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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.

Item Type: Article
Additional Information: Licence for this article: https://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords: modulation signal bispectrum, higher order spectra, fault diagnosis, induction motor, gearbox, reciprocating compressor
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: School of Engineering
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 23 Oct 2019 11:00
Last Modified: 23 Oct 2019 11:00
Identification Number: 10.3390/en12081438
URI: http://ubir.bolton.ac.uk/id/eprint/2207

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