High-frequency residual error-characteristic correlation type permanent magnet motor turn-to-turn short circuit fault diagnosis method
Through the high-frequency residual-feature correlation method, high-frequency rotation voltage signal is injected and voltage residual is calculated, which solves the problem of operating condition interference and difficult to detect minor faults in the interturn short circuit fault diagnosis of permanent magnet synchronous motor, and realizes efficient fault diagnosis under complex operating conditions.
Patent Information
- Application Number
- CN202510646170.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-20
- Publication Date
- 2025-08-19
- Estimated Expiration
- 2045-05-20
AI Technical Summary
When the existing permanent magnet synchronous motors are diagnosed between turns, the fault characteristics are easily disturbed by operating conditions, and minor faults are not easy to diagnose, and common methods are difficult to achieve accurate diagnosis under complex operating conditions.
The high-frequency residual-feature correlation method is adopted to inject high-frequency rotation voltage signals, collect high-frequency current and voltage, calculate the high-frequency voltage residual, and use the least squares method to obtain the fault characteristic quantity, and combine the high-frequency residual-feature correlation analysis model to judge the inter-turn short-circuit fault.
Multi-level diagnosis of minor to severe faults is achieved, the fault phase is distinguished from the severity of faults, and the diagnostic effect is maintained under dynamic operating conditions of speed or torque changes, which improves the robustness of the diagnosis.