Towards robust and understandable fault detection and diagnosis using denoising sparse autoencoder and smooth integrated gradients

Industrial applications of fault detection and diagnosis face great challenges as they require not only accurate identification of faulty statuses but also the effective understandability of the results. In this paper, a two-step robust and understandable fault detection and diagnosis framework is d...

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Bibliographic Details

Published in:	ISA transactions Vol. 125; pp. 371 - 383
Main Authors:	Peng, Peng, Zhang, Yi, Wang, Hongwei, Zhang, Heming
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2022
Subjects:	Autoencoder Deep learning Explainable artificial intelligence Fault detection and diagnosis Root cause diagnosis Deep learning Explainable artificial intelligence Root cause diagnosis Autoencoder Fault detection and diagnosis
ISSN:	0019-0578, 1879-2022, 1879-2022
Online Access:	Get full text
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