Deep Learning-Based Machinery Fault Diagnostics

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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.

Author(s): Hongtian Chen, Kai Zhong, Guangtao Ran, Chao Cheng
Publisher: MDPI
Year: 2022

Language: English
Pages: 291
City: Basel

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[Machines] Deep Learning-Based Machinery Fault Diagnostics.pdf
A9R1k4zxxo_yodqr6_f8w.pdf