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Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems

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Proceedings of the 13th International Conference on Damage Assessment of Structures

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Induction motor is one of the most widely used prime drivers and electric energy consuming devices in industry. Accurate and timely diagnosis of faults in motors will help to maintain their operating under optimal status and avoid excessive energy consumption and severe damages to systems. In this study, instantaneous motor current and voltage signals (IMCVS) is analyzed by an advanced Modulation Signal Bispectrum (MSB) method to achieve accurate demodulations of Frequency Modulation (FM) and Amplitude Modulation (AM) by minimizing noise influence and enhancing modulation characteristics simultaneously. Firstly, the modulation effects due to motor faults and downstream mechanical components were modelled, thus finding the interaction between AM and FM effect and hence developed a scheme to use the signature of AM and FM jointly for accurate fault diagnosis. Then experimentations were carried out to verify the performance of the proposed scheme in detecting and diagnosing common mechanical faults including Shaft Misalignments(SM), Motor Rotor Broken Bar (BRB), Stator Resistance Imbalance (SRI) and compound BRB with SRI

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Authors and Affiliations

  1. School of Mathematics and Big Data, Foshan University, Foshan, 528000, People’s Republic of China

    Jiongqi Wang

  2. Centre for Efficiency and Performance Engineering (CEPE), School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK

    Funso Otuyemi, Haiyang Li, Fulong Liu, Jiongqi Wang, Fengshou Gu & Andrew D. Ball

Authors
  1. Funso Otuyemi
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  2. Haiyang Li
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  3. Fulong Liu
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  4. Jiongqi Wang
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  5. Fengshou Gu
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  6. Andrew D. Ball
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Corresponding author

Correspondence to Jiongqi Wang .

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Editors and Affiliations

  1. Laboratory Soete, Ghent University, Ghent, Belgium

    Magd Abdel Wahab

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Otuyemi, F., Li, H., Liu, F., Wang, J., Gu, F., Ball, A.D. (2020). Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems. In: Wahab, M. (eds) Proceedings of the 13th International Conference on Damage Assessment of Structures. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8331-1_42

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  • DOI: https://doi.org/10.1007/978-981-13-8331-1_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8330-4

  • Online ISBN: 978-981-13-8331-1

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