Fault diagnosis of static eccentricity in motors using FFT analysis of resolver signals

Dong-Hyun Cho; Dogyun Kim; Hyeon-Gyu Choi

Fault diagnosis of static eccentricity in motors using FFT analysis of resolver signals

Dong-Hyun Cho

Dogyun Kim

Hyeon-Gyu Choi

Vol. 26, No. 1, pp. 190-200, Jan. 2026

10.1007/s43236-025-01221-z

Resolver

Static eccentricity

digital signal processing

Fault diagnosis

Abstract

This paper proposes a fault diagnosis method for static eccentricity in electric motors using conventional resolver systems. When static eccentricity occurs, nonlinear distortion appears in the resolver output signal. In this study, a technique is proposed to extract the harmonic components from such distortion and analyze them using the Fast Fourier Transform (FFT) to determine the presence of faults and assess the degree of eccentricity. The proposed method employs an artificial intelligence-based regression model to verify the occurrence and severity of eccentricity faults in the motor, and confirms that fault diagnosis can be achieved solely through existing resolver signals without the need for additional hardware.

Statistics

Show / Hide Statistics

Cumulative Counts from September 30th, 2019
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.

Cite this article

[IEEE Style]

D. Cho, D. Kim, H. Choi, "Fault diagnosis of static eccentricity in motors using FFT analysis of resolver signals," Journal of Power Electronics, vol. 26, no. 1, pp. 190-200, 2026. DOI: 10.1007/s43236-025-01221-z.

[ACM Style]

Dong-Hyun Cho, Dogyun Kim, and Hyeon-Gyu Choi. 2026. Fault diagnosis of static eccentricity in motors using FFT analysis of resolver signals. Journal of Power Electronics, 26, 1, (2026), 190-200. DOI: 10.1007/s43236-025-01221-z.