Toward Explainable AutoEncoder-Based Diagnosis of Dynamical Systems

Autoencoders have been used widely for diagnosing devices, for example, faults in rotating machinery. However, autoencoder-based approaches lack explainability for their results and can be hard to tune. In this article, we propose an explainable method for applying autoencoders for diagnosis, where...

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Bibliographic Details

Published in:	Algorithms Vol. 16; no. 4; p. 178
Main Author:	Provan, Gregory
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.04.2023
Subjects:	autoencoder Behavior Deep learning diagnosis Dynamical systems Fault diagnosis Fault location (Engineering) Machinery principal angle Rotating machinery Semantics subspace projection System theory Ireland
ISSN:	1999-4893, 1999-4893
Online Access:	Get full text
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