Open AccessA Novel Distributed Fault Detection Approach Based on the Variational Autoencoder Model
Author(s) -
Huang Cheng-hong,
Yi Chai,
Zheren Zhu,
Bowen Liu,
Qiu Tang
Publication year - 2022
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.1c06033
Subject(s) - autoencoder , fault detection and isolation , computer science , fault (geology) , data mining , latent variable , pattern recognition (psychology) , missing data , artificial intelligence , generative model , euclidean distance , variable (mathematics) , basis (linear algebra) , feature (linguistics) , algorithm , generative grammar , artificial neural network , mathematics , machine learning , mathematical analysis , seismology , actuator , geology , linguistics , philosophy , geometry
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