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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Damage Assessment of Structures
EditorsMagd Abdel Wahab
PublisherSpringer
Pages566-581
Number of pages16
ISBN (Electronic)9789811383311
ISBN (Print)9789811383304
DOIs
Publication statusPublished - 2019
Event13th International Conference on Damage Assessment of Structures - University of Porto, Porto, Portugal
Duration: 9 Jul 201910 Jul 2019
Conference number: 13
http://www.damas.ugent.be/

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference13th International Conference on Damage Assessment of Structures
Abbreviated titleDAMAS 2019
CountryPortugal
CityPorto
Period9/07/1910/07/19
Internet address

Fingerprint

Signal analysis
Condition monitoring
Amplitude modulation
Frequency modulation
Modulation
Stators
Demodulation
Induction motors
Failure analysis
Energy utilization
Rotors
Electric potential
Industry

Cite this

Otuyemi, F., Li, H., Liu, F., Wang, J., Gu, F., & Ball, A. D. (2019). Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems. In M. A. Wahab (Ed.), Proceedings of the 13th International Conference on Damage Assessment of Structures (pp. 566-581). (Lecture Notes in Mechanical Engineering). Springer. https://doi.org/10.1007/978-981-13-8331-1_42
Otuyemi, Funso ; Li, Haiyang ; Liu, Fulong ; Wang, Jiongqi ; Gu, Fengshou ; Ball, Andrew D. / Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems. Proceedings of the 13th International Conference on Damage Assessment of Structures. editor / Magd Abdel Wahab. Springer, 2019. pp. 566-581 (Lecture Notes in Mechanical Engineering).
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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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Otuyemi, F, Li, H, Liu, F, Wang, J, Gu, F & Ball, AD 2019, Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems. in MA Wahab (ed.), Proceedings of the 13th International Conference on Damage Assessment of Structures. Lecture Notes in Mechanical Engineering, Springer, pp. 566-581, 13th International Conference on Damage Assessment of Structures, Porto, Portugal, 9/07/19. https://doi.org/10.1007/978-981-13-8331-1_42

Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems. / Otuyemi, Funso; Li, Haiyang; Liu, Fulong; Wang, Jiongqi; Gu, Fengshou; Ball, Andrew D.

Proceedings of the 13th International Conference on Damage Assessment of Structures. ed. / Magd Abdel Wahab. Springer, 2019. p. 566-581 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Li, Haiyang

AU - Liu, Fulong

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AU - Gu, Fengshou

AU - Ball, Andrew D.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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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PB - Springer

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Otuyemi F, Li H, Liu F, Wang J, Gu F, Ball AD. Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems. In Wahab MA, editor, Proceedings of the 13th International Conference on Damage Assessment of Structures. Springer. 2019. p. 566-581. (Lecture Notes in Mechanical Engineering). https://doi.org/10.1007/978-981-13-8331-1_42