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Acoustic Signature Analysis and Sound Source Localization for a Three-Phase AC Induction Motor

Author

Listed:
  • Anand Krishnasarma

    (NVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USA)

  • Seyed Jamaleddin Mostafavi Yazdi

    (NVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USA)

  • Allan Taylor

    (NVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USA)

  • Daniel Ludwigsen

    (NVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USA)

  • Javad Baqersad

    (NVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USA)

Abstract

As part of the recent electrification of the transportation industry, internal combustion engines are being coupled with or replaced by electric motors. This movement towards an electrified drivetrain poses new noise, vibration, and harshness (NVH) challenges related to electric motors. In this paper, the acoustic signature of an electric motor was analyzed to obtain a better understanding of the sound generated by these motors. This work provides an insight into an acoustic measurement technique that can be used to identify certain frequency bands that significantly contribute to the perceived sound. In the first part, the structural response of the motor was correlated with its acoustic spectra. Furthermore, data from acoustic and structural measurements were used to analyze the order content of the signal and identify critical contributors to the overall perceived sound. The differences between data captured by microphones in different positions around the motor helped to localize components of the overall sound. The results provide some discussion about techniques to decrease the overall sound. The technique described in this paper can be extended to fan-cooled motors that are used in vehicles such as golf carts or as auxiliary motors in electric/hybrid vehicles, as well as across a wide range of industrial applications.

Suggested Citation

  • Anand Krishnasarma & Seyed Jamaleddin Mostafavi Yazdi & Allan Taylor & Daniel Ludwigsen & Javad Baqersad, 2021. "Acoustic Signature Analysis and Sound Source Localization for a Three-Phase AC Induction Motor," Energies, MDPI, vol. 14(21), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7182-:d:670303
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    References listed on IDEAS

    as
    1. Hong-Chan Chang & Yu-Ming Jheng & Cheng-Chien Kuo & Yu-Min Hsueh, 2019. "Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach," Energies, MDPI, vol. 12(8), pages 1-12, April.
    2. Sabin Sathyan & Ugur Aydin & Anouar Belahcen, 2020. "Acoustic Noise Computation of Electrical Motors Using the Boundary Element Method," Energies, MDPI, vol. 13(1), pages 1-13, January.
    3. Qin, Yechen & Tang, Xiaolin & Jia, Tong & Duan, Ziwen & Zhang, Jieming & Li, Yinong & Zheng, Ling, 2020. "Noise and vibration suppression in hybrid electric vehicles: State of the art and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
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    Cited by:

    1. Seyed Jamaleddin Mostafavi Yazdi & Seongchan Pack & Foroogh Rouhollahi & Javad Baqersad, 2023. "A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles," Energies, MDPI, vol. 16(9), pages 1-17, May.

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