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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Vydané v:	Algorithms Ročník 16; číslo 4; s. 178
Hlavný autor:	Provan, Gregory
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.04.2023
Predmet:	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
On-line prístup:	Získať plný text
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