首页|Investigators from Soochow University Have Reported New Data on Robotics (Fault Diagnosis for Ball Screws In Industrial Robots Under Variable and Inaccessible W orking Conditions With Non-vibration Signals)
Investigators from Soochow University Have Reported New Data on Robotics (Fault Diagnosis for Ball Screws In Industrial Robots Under Variable and Inaccessible W orking Conditions With Non-vibration Signals)
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
Current study results on Robotics have been published. According to news originating from Suzhou, People's Republic of China, by NewsRx correspondents, research stated, "Only a limited number of stu dies have utilized non -vibration signals to conduct fault diagnosis of ball scr ews in industrial robots, and existing methods have to combine domain adaptation methods to overcome the challenge posed by variable and inaccessible working co nditions, leading to the development of complex and large-scale models that are impractical to implement. In this study, a lightweight diagnosis model called Mi cro -Net is proposed, in which vibration signals and domain adaptation technique s are completely avoided." Funders for this research include National Innovation and Development Project of Industrial Internet, National Natural Science Foundation of China (NSFC), Suzho u Science Foundation.
SuzhouPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsSoochow Univers ity
NETL
NSTL
