A fault diagnosis method for three-phase rectifiers |
| |
| Affiliation: | 1. Marine Engineering Institute, Jimei University, 361021 Xiamen, China;2. School of Engineering, Sun Yat-sen University, 510006 Guangzhou, China;3. School of Information Science and Technology, Sun Yat-sen University, 510006 Guangzhou, China;1. Faculty of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran;2. Electrical Engineering Department, Babol (Nooshirvani) University of Technology, Mazandaran, Iran;1. Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian, 116026, China;2. Faculty of Engineering and Physical Sciences, University of Southampton, Boldrewood Innovation Campus, SO16 7QF, Southampton, UK;1. Laboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain;2. Audio Visual Communications and Networking Research Centre, University of the West of Scotland, Paisley, United Kingdom |
| |
| Abstract: | In this article, we proposed a novel method based on principal component analysis and support vector machines was presented for fault diagnosis of three-phase rectifiers, in which the principal component analysis of fault signal is used to extract the features corresponding to various fault, then fault types are identified through the pattern recognition classifier based on support vector machines. The simulation result of fault diagnosis of a thyristor in a three-phase full-bridge controlled rectifier shows that the method can make an accurate identification of fault types as well as the location of the fault elements for power electronics circuits, and it has an excellent performance for noise robustness and calculation complexity. Therefore, it is quite practically valuable in the solution to the fault problems for power electronics rectifiers. |
| |
| Keywords: | Support vector machine Principal component analysis Fault diagnosis Three-phase rectifiers |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
