T-type inverter fault diagnosis based on GASF and improved AlexNet

T-type inverter fault diagnosis based on GASF and improved AlexNet

Aiming at the problems of high similarity of T-type inverter open-circuit fault features, cumbersome manual extraction of fault features, and the inability of one-dimensional convolutional neural network to fully play the role of feature extraction. In this paper, an end-to-end fault diagnosis metho...

书目详细资料
Main Authors:	Yabo Cui, Rongjie Wang, Yupeng Si, Shiqi Zhang, Yichun Wang, Anhui Lin
格式:	文件
语言:	English
出版:	Elsevier 2023-12-01
丛编:	Energy Reports
主题:	T-type inverter GASF Improved AlexNet Fault diagnosis
在线阅读:	http://www.sciencedirect.com/science/article/pii/S2352484723001038

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