Mechanical Faults Analysis in Switched Reluctance Motor

Author:

Lorencki Jakub1ORCID,Radkowski Stanisław1

Affiliation:

1. Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Narbutta 84, 02-524 Warszawa, Poland

Abstract

The switched reluctance motor (SRM) is an electric motor that can function effectively in challenging operating conditions thanks to its sturdy construction and resilience to external factors. Despite somewhat weaker parameters in terms of energy and power density compared to other types of electric motors, the SRM is recommended for applications such as the military, mining, industry, and other locations where the reliability of vehicle drive is essential. Therefore, monitoring the motor’s operating state and identifying the fault’s condition while it is still in the beginning phase is crucial. The paper presents SRM diagnostic methods and the authors’ research on the test stand. The examined faults were dynamic eccentricity and imbalance. Experiments were performed for various rotational speeds and loads. The analysis of the results consisted of the interpretation of the current and acceleration spectra acquired from proper sensors. The spectra bands are compared in terms of their amplitudes and frequency values. These results show the nonlinear characteristics of the motor’s operation, and interpretation of these results allows for estimating the impact of a fault parameter on a motor’s performance.

Publisher

MDPI AG

Reference19 articles.

1. Miller, T.J.E. (1993). Switched Reluctance Motors and Their Control, Magna Physics Publishing.

2. Toliyat, H.A., Nandi, S., Choi, S., and Meshgin-Kelk, H. (2013). Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis, CRC Press. [1st ed.].

3. Martin, B., Pierre, G., Bertrand, R., and Jeremi, R. (2010). Fault Detection, InTech.

4. Diagnosis of Multicomponent Faults in SRM Drives Based on Auxiliary Current Reconstruction Under Soft-Switching Operation;Ali;IEEE Trans. Ind. Electron.,2024

5. Fault Diagnosis of Full-Bridge Power Converter for SRMs Based on Modified Current Detection;Hu;IEEE J. Emerg. Sel. Top. Power Electron.,2024

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