Application of Transient Analysis Techniques to Fault Diagnosis in Low- and Medium-Power Synchronous Machines

• Published in: Machines (Basel) Vol. 11; no. 2; p. 288
• Main Authors: Navarro-Navarro, Angela, Ruiz-Sarrio, Jose E., Biot-Monterde, Vicente, Antonino-Daviu, Jose A., Becker, Vincent, Urschel, Sven
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Asynchronous motors; Case studies; Circuits; Energy consumption; Failure; Fault detection; Fault diagnosis; Fourier transforms; Frequency analysis; Machinery; Magneto-electric machines; Magnets, Permanent; maintenance; Methods; permanent magnet machines; Permanent magnets; Reluctance machinery; Signal processing; Synchronous machines; Synchronous motors; synchronous reluctance machine; Transient analysis; Transient operation; Wavelet transforms
• ISSN: 2075-1702; 2075-1702
• DOI: 10.3390/machines11020288

Fault diagnosis techniques applied to synchronous motors such as Permanent Magnet Synchronous Machines (PMSMs) and Synchronous Reluctance Machines (SynRMs) are scarcely addressed in the literature, in strong contrast to the attention paid to asynchronous motors. In addition, the most widespread techniques are those based on steady-state condition analysis, and little attention is paid to detection during transient operation. The present paper aims to identify research gaps on the topic and to demonstrate the potential of transient analysis. First, the different diagnostic methodologies in literature are thoroughly analyzed. Then, two laboratory case studies are presented to demonstrate the potential of fault detection under non-stationary conditions for a PMSM and a SynRM. Stator current analysis is performed by building time–frequency maps to analyze the evolution of different fault indicators. The results show clear differences between healthy and faulty conditions during the transient regime.