Fault Diagnosis Modeling of Permanent Magnet Motors: Inter-Turn Short Circuit (ITSC) Faults.

This study addresses the critical issue of inter-turn short circuits in permanent magnet synchronous machines (PMSMs) within the realm of power engineering. It encompasses a thorough investigation, from examining prevalent fault detection methods to employing advanced computational tools for accurate machine modeling and simulation. The novel approach combines precise magnetic field modeling with established electrical and mechanical equations, yielding significantly higher accuracy compared to conventional methods. The computational models not only detect inter-turn faults but also allow for the analysis of ground faults, open circuit faults, and dynamic and static eccentricities. Results from simulations closely align with real-world values, affirming the efficacy of the proposed modeling approach. The study also demonstrates the feasibility of identifying non-axisymmetric faults through dynamic machine behavior analysis. Torque oscillations, resultant from imbalanced phase currents, emerge as a potential diagnostic tool for inter-turn faults. Additionally, phase current asymmetry opens avenues for fault detection based on sequence analysis. This research provides a robust framework for accurate inter-turn short circuit detection in PMSMs. By integrating advanced computational modeling with established electrical engineering principles, it offers an approach to fault diagnosis in these machines, addressing a critical concern in power engineering.