Ensemble-based Randomized Classifier for Data-driven Fault Diagnosis of IGBT in Traction Converters
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8450265/8467715/08467906.pdf?arnumber=8467906
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. IGBT Fault Diagnosis Method Based on Information Gain and Least Squares Support Vector Machine;2024 IEEE 7th International Electrical and Energy Conference (CIEEC);2024-05-10
2. Open Circuit Fault Diagnosis Technique for Inverter Switches and Gate Drive Malfunction;2023 58th International Universities Power Engineering Conference (UPEC);2023-08-30
3. Machine learning for fault diagnosis of high-speed train traction systems: A review;Frontiers of Engineering Management;2023-05-31
4. Multiple Open Switch Fault Diagnosis of Three Phase Voltage Source Inverter Using Ensemble Bagged Tree Machine Learning Technique;IEEE Access;2023
5. A Data-Driven Fault Diagnosis Method with Dimension Reduction Capability for Inverter Open-circuit Fault of Multiphase Drive Systems;2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES);2022-12-09
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