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Deep Learning-Based Machinery Fault Diagnostics - Hardcover
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by Hongtian Chen (Guest Editor), Kai Zhong (Guest Editor), Guangtao Ran (Guest Editor)
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.
Number of Pages: 290
Dimensions: 0.94 x 9.61 x 6.69 IN
Publication Date: September 02, 2022