首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsShangh ai Jiao Tong University
NETL
NSTL
