Noise in Electric Motors: A Comprehensive Review

Patxi Gonzalez, Garikoitz Buigues and Angel Javier Mazon ()
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Patxi Gonzalez: Obeki Innobe AIE, Baratzondo 3, Pol. Apatta—Erreka, 20400 Ibarra, Spain
Garikoitz Buigues: Department of Electrical Engineering, Faculty of Engineering in Bilbao, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Angel Javier Mazon: Department of Electrical Engineering, Faculty of Engineering in Bilbao, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain

Energies, 2023, vol. 16, issue 14, 1-22

Abstract: Electric machines are important devices that convert electrical energy into mechanical energy and are extensively used in a wide range of applications. Recent years have seen an increase in applications where electric motors are used. The frequent use of electric motors in noise-sensitive environments increases the requirements placed on electric motors intended for these applications, especially when compared to electric motors commonly used in industrial applications. This paper provides a comprehensive review of electric motor noise. Firstly, a brief introduction to noise is given. Then, the sources of electromagnetic noise and vibration in electric machines, including mechanical, aerodynamic and electromagnetic factors, are presented. Different methods such as analytical, numerical and semi-analytical for calculating electromagnetic force, natural frequencies and noise are also analyzed. Various methods for noise reduction are presented, including skewing, stator and rotor notching and slot opening width. Finally, noise measurement standards and procedures are described.

Keywords: electric machine; electromagnetic noise; induction motor; permanent magnet motor (PMM); axial flux motor (AFM); noise calculation; noise reduction methods (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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