Online fault detection of induction motors using frequency domain independent components analysis

• Main Authors: WANG, Zhaoxia, CHANG, C. S.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: Fast Fourier Transform (FFT); Fault detection; Features of the frequency signatures (FS features); Independent Component Analysis (ICA); Induction Motor; Numerical Analysis and Scientific Computing; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5560; https://ink.library.smu.edu.sg/context/sis_research/article/6563/viewcontent/2011_OnlineFaultDetection_Induction_Motors_av.pdf
• Institution: Singapore Management University

This paper proposes an online fault detection method for induction motors using frequency-domain independent component analysis. Frequency-domain results, which are obtained by applying Fast Fourier Transform (FFT) to measured stator current time-domain waveforms, are analyzed with the aim of extrac...