Deep Learning-Based Machinery Fault Diagnostics

This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular in...

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Autres auteurs: Chen, Hongtian (Éditeur intellectuel), Zhong, Kai (Éditeur intellectuel), Ran, Guangtao (Éditeur intellectuel), Cheng, Chao (Éditeur intellectuel)
Format: Électronique Chapitre de livre
Langue:anglais
Publié: MDPI - Multidisciplinary Digital Publishing Institute 2022
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Description
Résumé:This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machinery fault diagnosis.
Description matérielle:1 electronic resource (290 p.)
ISBN:books978-3-0365-5174-6
9783036551739
9783036551746
Accès:Open Access