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A New Method for Inverter Diagnosis of Electric Locomotive Using Adversarial Neural Networks
2022
Security and Communication Networks
In order to improve the fault diagnosis accuracy of the electric locomotive inverter, this article combines the adversarial neural network to construct the electric locomotive inverter diagnosis system. Moreover, at the data level, this article compares and analyzes three methods of data expansion based on single-sample processing, data expansion based on image front and background separation, and data expansion based on an adversarial neural network. In addition, this article adopts a new
doi:10.1155/2022/5606328
fatcat:fj3nxib7dvdancpu76llor3idy