Robotics & Machine Learning Daily News2024,Issue(Oct.9) :70-71.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :70-71.

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)

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Abstract

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.

Key words

Suzhou/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Soochow Univers ity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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