Abstract：In order to improve the reliability and safety of three-phase bridgeless PFC, open circuit fault mechanism and fault characteristic were analyzed. Considering the problems of numerous fault states and sparse feature samples, a novel method based on K-nearest neighbor algorithm is proposed for open circuit fault diagnosis and location. Three-phase input currents are taken as the characteristic variables, and the fault features are extracted by coordinate transformation and similarity analysis. Then the K-nearest neighbor algorithm based on normalized Manhattan distance is used to identify different fault modes. The feasibility has been verified by simulation and experimental results. The proposed method implements a high sampling rate for online real-time diagnosis with higher diagnosis accuracy and faster diagnostic time. It is also robust to some special conditions such as load mutation and harmonic interference.
陈文博, 程红, 王聪. 三相无桥功率因数校正器开路故障的快速诊断与定位策略[J]. 电工技术学报, 2019, 34(18): 3873-3883.
Chen Wenbo, Cheng Hong, Wang Cong. A Fast Open Circuit Fault Diagnosis and Location Strategy for Three-Phase Bridgeless Power Factor Corrector. Transactions of China Electrotechnical Society, 2019, 34(18): 3873-3883.
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2019, Vol. 34 
