Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots

Title
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots
Authors
Keywords
Fault diagnosis, Multi-joint industrial robot, Sparse auto-encoder, Support vector machine, Attitude data
Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2020-09-08
DOI
10.1016/j.jmsy.2020.08.010

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