A multi-source learning method for open-switch fault diagnosis in power converters
This dissertation explores a novel multi-source domain adaptation extreme learning machine (MDAELM) method for diagnosing open-circuit faults in insulated gate bipolar transistors (IGBTs) within three-phase inverters. Traditional fault diagnosis methods often fail to address challenges arising from...
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格式: | Thesis-Master by Coursework |
語言: | English |
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Nanyang Technological University
2025
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在線閱讀: | https://hdl.handle.net/10356/182463 |
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