Broken Rotor Bar Fault Detection for Inverter-Fed Induction Motor with Negative-Sequence Current Analysis
Sarvarbek Ruzimov1, Jianzhong Zhang1, Xu Huang1
1School of Electrical Engineering, Southeast University, Nanjing 210096, China.
Sensors (Basel, Switzerland)
|November 27, 2025
Summary
Negative-sequence current analysis effectively detects broken rotor bars in induction motors. Advanced filtering techniques improve diagnostic reliability under various operating conditions.
Area of Science:
- Electrical Engineering
- Mechanical Engineering
- Condition Monitoring
Background:
- Induction motors are critical in industrial applications.
- Broken rotor bars are a common motor fault.
- Accurate fault detection is essential for operational reliability.
Purpose of the Study:
- To evaluate negative-sequence current analysis for broken rotor bar detection.
- To enhance diagnostic reliability using advanced filtering.
- To assess fault detection under diverse load and speed conditions.
Main Methods:
- Utilized negative-sequence current analysis.
- Applied a Spectrum-Tracking Hybrid Adaptive Extended Kalman Filter for harmonic isolation.
- Conducted assessments of fault detection accuracy and sensitivity.
Main Results:
- Inverter-induced harmonics were effectively separated, yielding clearer signals.
- Comparable anomaly patterns were observed between healthy and faulty motor signals.
- The method demonstrated high fault visibility and clarity.
Conclusions:
- Negative-sequence current analysis is a reliable technique for detecting broken rotor bars.
- Extended Kalman filter-based harmonic isolation significantly enhances diagnostic performance.
- The technique is resilient and effective across various operating conditions and early fault stages.
Keywords:
Kalman filterbroken rotor barcondition monitoringfault diagnosisinduction motornegative-sequence currentMore Related Videos
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