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R. A.

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Open access Jul 2026

Data-driven diagnosis of permanent magnet synchronous motor demagnetization faults using machine learning and statistical process control

A physics-guided hybrid diagnostic architecture has been developed for assessing demagnetization in PMSM that provides a scalable, interpretable, and cost-effective solution for predictive maintenance and real-time fault diagnosis of PMSMs.

Jayant N Ramesh, A. V, S. P. et al. · Engineering Research Express · 0 citations