A Summary of Health Prognostics Methods for Industrial Robots

With the rise of intelligent manufacturing, the requirements for precision and reliability of industrial robots are increasing. Through the industrial robot system status monitoring and health prognostics, when maintenance is needed, this strategy of condition-based maintenance (CBM) can reduce unne...

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Bibliographic Details
Published in2019 Prognostics and System Health Management Conference (PHM-Qingdao) pp. 1 - 6
Main Authors Zhou, Qiaoqian, Wang, Yuanchao, Xu, Jianming
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
5G mobile communication
6G mobile communication
industrial robot
Iron
prognostics and health management
remaining useful life
robot
Three-dimensional displays
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DOI10.1109/PHM-Qingdao46334.2019.8942969

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Summary:With the rise of intelligent manufacturing, the requirements for precision and reliability of industrial robots are increasing. Through the industrial robot system status monitoring and health prognostics, when maintenance is needed, this strategy of condition-based maintenance (CBM) can reduce unnecessary maintenance operations effectively, and reduce the overall maintenance cost. The health prognostics usually consists of data acquisition and processing, health indicator (HI) construction and remaining useful life (RUL) prediction. Industrial robots are complex systems composed of sensors, reducers, motors, servo drivers and controllers. In this paper, the methods of health prognostics are summarized from two aspects: component level and system level. Finally, the health prognostics methods for industrial robots are prospected and summarized combined with literature.
DOI:10.1109/PHM-Qingdao46334.2019.8942969