ArticleSensors (Basel, Switzerland)2025
Broken Rotor Bar Fault Detection for Inverter-Fed Induction Motor with Negative-Sequence Current Analysis.
Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
This study examines the effectiveness of negative-sequence current analysis in identifying broken rotor bars for inverter-fed induction motors under different load and speed conditions. To improve diagnostic reliability, inverter-induced harmonics in the negative-sequence current were separated using a Spectrum-Tracking Hybrid Adaptive Extended Kalman Filter method, resulting in a clearer signal representation. A thorough assessment of the fault detection accuracy and sensitivity was performed to measure fault visibility and clarity. Visual comparisons of healthy and faulty negative-sequence current signals validated comparable patterns of anomalies. The findings validate that negative-sequence current analysis, enhanced by extended Kalman filter-based harmonic isolation, is a dependable and resilient technique for detecting broken rotor bars, especially in the early stages of faults and under various operating conditions.
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