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所属单位：自动化学院
发表刊物：PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017)
关键字：Fault diagnosis Induction Motor Multiple-model estimation Fusion estimation
摘要：In this paper, the fault diagnosis problem for induction motor is studied on the basis of multiple-model estimation approach. Considering the time-varying parameters of motor with the changes of motor operation. a multiple model is proposed for induction motor with rotor broken bar fault. The corresponding Kalman filters are used to estimate the state under the random noise for each model. Based on the estimations from multiple model filters, the fault diagnosis algorithm is designed. Finally, the feasibility and effectiveness of the proposed method are illustrated by simulation.
ISSN号：2161-2927
是否译文：否
发表时间：2017-01-01
合写作者：Zhu, Hongyu,姜斌,Liu, Hengbo
通讯作者：冒泽慧