Non-intrusive electrical and mechanical fault diagnosis of induction motors via Fourier-transform-aided learning (cid:73)
Jingyi Yan, Hariram Arni, M. Gardner et al.
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#artificial intelligence
Nov 2026
Non-intrusive electrical and mechanical fault diagnosis of induction motors via Fourier-transform-aided learning
This paper proposes a knowledge-based input configuration to inform deep learning models for both electrical and mechanical fault diagnosis, rather than increasing model complexity, and confirms that, while conventional feature processing techniques perform well for electrical fault diagnosis, only the proposed FFT-informed input effectively captures both electrical and mechanical fault patterns.
Jingyi Yan, Hariram Arni, Bin Jou et al.
· Measurement · 1 citation