Multi-mode kernel principal component analysis-based incipient fault detection for pulse width modulated inverter of China Railway High-speed 5

被引:27
作者
Chen, Hongtian [1 ]
Jiang, Bin [1 ]
Lu, Ningyun [1 ]
Mao, Zehui [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, 29 Yudao St, Nanjing 210036, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-mode kernel principal component analysis; incipient fault; fault detection; pulse width modulated inverter; electronic engineering; railway vehicles; INDUCTION-MOTOR DRIVE; DIAGNOSIS; CONVERTERS;
D O I
10.1177/1687814017727383
中图分类号
O414.1 [热力学];
学科分类号
070201 [理论物理];
摘要
This article deals with incipient fault of insulated-gate bipolar transistors to improve the safety of traction systems of China Railway High-speed 5. Combining with the pulse width modulated strategy which makes signals variate periodically, the multi-mode kernel principal component analysis algorithm is proposed. It can effectively not only capture the tiny changes caused by incipient faults but also detect short-faults of insulated-gate bipolar transistors in electrical systems. In feature space of every mode, different thresholds will be formed corresponding to defined modes. The proposed scheme is tested in experimental setup of traction system of China Railway High-speed 5 with incipient fault and short-circuit fault, and experimental results show that the multi-mode kernel principal component analysis has superior monitoring performance compared to other five methods.
引用
收藏
页数:12
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