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: | , , , |
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Format: | Électronique Chapitre de livre |
Langue: | anglais |
Publié: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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Sujets: | |
Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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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. |
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Description matérielle: | 1 electronic resource (290 p.) |
ISBN: | books978-3-0365-5174-6 9783036551739 9783036551746 |
Accès: | Open Access |