Conditional Variational Autoencoder and generative adversarial network-based approach for long-tailed fault diagnosis for the motor system

This study addresses the challenge of diagnosing motor faults in long-tailed data distributions, characterized by dominant healthy states and rare fault types. We propose the LT-CVAE-GAN model, which integrates a Conditional Variational Autoencoder (CVAE) with a Conditional Generative Adversarial Ne...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 242; S. 116116
Hauptverfasser:	Huang, Mei, Sheng, Chenxing, Rao, Xiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2025
Schlagworte:	Conditional variational autoencoder Fault diagnosis Generative adversarial networks Long-tailed distribution Motor Fault diagnosis Conditional variational autoencoder Generative adversarial networks Motor Long-tailed distribution
ISSN:	0263-2241
Online-Zugang:	Volltext
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