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...

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Bibliographic Details
Main Authors: Yabo Cui, Rongjie Wang, Yupeng Si, Shiqi Zhang, Yichun Wang, Anhui Lin
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Energy Reports
Subjects:
T-type inverter
GASF
Improved AlexNet
Fault diagnosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723001038

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