Chiller Fault Diagnosis Based on VAE-Enabled Generative Adversarial Networks

Artificial intelligence (AI)-enhanced automated fault diagnosis (AFD) has become increasingly popular for chiller fault diagnosis with promising classification performance. In practice, a sufficient number of fault samples are required by the AI methods in the training phase. However, faulty trainin...

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Vydané v:	IEEE transactions on automation science and engineering Ročník 19; číslo 1; s. 387 - 395
Hlavní autori:	Yan, Ke, Su, Jianye, Huang, Jing, Mo, Yuchang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial intelligence Automation Comparative studies Data augmentation Datasets Fault diagnosis Gallium nitride generative adversarial network (GAN) Generative adversarial networks HVAC Machine learning Refrigerants Training Training data variational autoencoder (VAE)
ISSN:	1545-5955, 1558-3783
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