Detection of Inter-Turn Short-Circuit Faults for Inverter-Fed Induction Motors Based on Negative-Sequence Current...

Area of Science:

• Electrical Engineering
• Power Systems
• Machine Diagnostics

Background:

• Inter-turn short-circuit (ITSC) faults are a common failure mode in induction motors, leading to performance degradation and potential failure.
• Early detection of ITSC faults is crucial for preventing catastrophic failures and ensuring operational reliability.

Purpose of the Study:

• To develop and validate a robust fault detection and location framework for inverter-fed induction motors.
• To address the challenge of accurately identifying ITSC faults under diverse operating conditions, including variable speed and load.

Main Methods:

• Utilized negative-sequence current analysis combined with wavelet-based filtering and symmetrical component decomposition.
• Developed a novel fault detection index for continuous motor health monitoring.
• Employed phase angle analysis of negative-sequence current fundamental components for fault localization.

Main Results:

• The proposed framework demonstrated high sensitivity in detecting early-stage ITSC faults.
• Experimental validation confirmed the accuracy of fault detection and localization under various speed and load conditions.
• The method proved effective for inverter-fed induction motor systems.

Conclusions:

• The developed framework offers a reliable solution for real-time condition monitoring of induction motors.
• The approach significantly enhances system reliability and minimizes unplanned downtime through predictive maintenance.
• This method is highly suitable for protecting inverter-fed motor systems against ITSC faults.