Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Fault Prediction and Health Management (PHM) Based on Data-driven Industrial Robot

Download as PDF

DOI: 10.23977/mcee2020.019


Xuan Xiu, Zhanqi Zhong, Lei Wu

Corresponding Author

Xuan Xiu


Industrial robots play an important role in industrial automation due to their stability, flexibility and excellent production efficiency. More and more companies choose industrial robots to replace manual operations in specific fields. However, as the number and use time of industrial robots continue to increase, the loss rate also increases, and equipment failure in important production occasions will bring unpredictable economic losses and safety problems. Therefore, it has high research value for fault prediction and health management (PHM) of industrial robots.


Data driven, industrial robot, PHM, clustering

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.