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所属单位：自动化学院
发表刊物：Chinese Control Conf., CCC
摘要：This study proposes a diagnosis method for IGBT open circuit fault and sensor drift fault in CRH2 through ensemble empirical mode decomposition (EEMD) and an improved kernel principal component analysis (KPCA) way. EEMD is modified to reduce noise in the current and voltage signals. Subsequently, an improved KPCA method using weight matrix to highlighting fault information is developed to detect and diagnose the composite fault. Then the three-phase current averaging method is applied to perform fault location. Numerical simulation results verify the validity and availability of the composite fault detection method. © 2019 Technical Committee on Control Theory, Chinese Association of Automation.
ISSN号：1934-1768
是否译文：否
发表时间：2019-07-01
合写作者：Li, Ziheng,Wang, Li,汪丽影,姜斌
通讯作者：陈复扬