A multi-source learning method for open-switch fault diagnosis in power converters

• المؤلف الرئيسي: Wu, Yuzhi
• مؤلفون آخرون: Xu Yan
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2025
• الموضوعات: Engineering; Fault diagnosis; Multi-source domain adaptation; Extreme learning machine; IGBT; Power converter
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/182463

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...