崔江

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副教授 硕士生导师

招生学科专业:
仪器科学与技术 -- 【招收硕士研究生】 -- 自动化学院
电子信息 -- 【招收硕士研究生】 -- 自动化学院

毕业院校:南京航空航天大学

学历:南京航空航天大学

学位:工学博士学位

所在单位:自动化学院

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Generator Rotating Rectifier Fault Detection Method Based on Stacked Auto-encoder

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所属单位:自动化学院

发表刊物:2017 IEEE WORKSHOP ON ELECTRICAL MACHINES DESIGN, CONTROL AND DIAGNOSIS (WEMDCD)

关键字:brushless ac synchronous generator rotating rectifier fault detection stacked auto-encoder

摘要:This paper presents a method of fault features extraction based on the stacked auto-encoder (SAE), and this method can be used to rotating rectifier diodes open-circuit fault detection of brushless ac synchronous generator. First, exciter generator field current is collected, and then processed by Fast Fourier Transform (FFT) to obtain the frequency components. Secondly, these components are deeply learned and evaluated by the stacked auto-encoder to extract features automatically. Finally, fault detection can be carried out with Euclidean distance calculation. The algorithm is validated based on a brushless ac synchronous generator test rig, and the experimental results show perfect fault detection performance under different load conditions.

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发表时间:2017-01-01

合写作者:Tang, Junxiang,Shi, Ge,张卓然

通讯作者:崔江