Robotics & Machine Learning Daily News2024,Issue(Sep.27) :21-22.

Reports Outline Robotics Study Findings from Shanghai Jiao Tong University (System-level Predictive Maintenance Optimization for No-wait Production Machine-robot Collaborative Environment Under Economic Dependency and Hybrid Fault Mode)

Robotics & Machine Learning Daily News2024,Issue(Sep.27) :21-22.

Reports Outline Robotics Study Findings from Shanghai Jiao Tong University (System-level Predictive Maintenance Optimization for No-wait Production Machine-robot Collaborative Environment Under Economic Dependency and Hybrid Fault Mode)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news originating from Shanghai, People’s Republic o f China, by NewsRx correspondents, research stated, “For manufacturing systems such as hot rolling, where there is no wait in the production process, breaks between adjacent production batches provide ‘opportunities’ for predictive maintenance. With the extensive application of industrial robots, a production machine-robot collaboration mode should be considered in system-level predictive maintenance.”

Key words

Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Shangh ai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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