Journal article
MJAR: A novel joint generalization-based diagnosis method for industrial robots with compound faults
Abstract
Compound faults inevitably occur in multi-joint industrial robots resulting in excessive vibration. Intelligent diagnosis for the occurrence and position of fault joints can efficiently reduce the maintenance cost. Compared with laboratory disassembly parts, joint diagnosis of in-situ industrial robots is more challenging due to coupling of multiple subsystems and the industrial noise interference. This paper proposes a novel joint …
Authors
He Y; Zhao C; Zhou X; Shen W
Journal
Robotics and Computer-Integrated Manufacturing, Vol. 86, ,
Publisher
Elsevier
Publication Date
April 2024
DOI
10.1016/j.rcim.2023.102668
ISSN
0736-5845