首页 /研究 /A deep transferable motion-adaptive fault detection method for industrial robots using a residual–convolutional neural network
LEARNING

A deep transferable motion-adaptive fault detection method for industrial robots using a residual–convolutional neural network

Yeongtak Oh, Yunhan Kim, Kyumin Na, Byeng D. Youn

发表年份
2021
引用次数
31

关键词

Artificial intelligenceConvolutional neural networkRobotFault detection and isolationIndustrial robotComputer scienceFault (geology)Artificial neural networkEngineeringControl engineering

相关论文

查看 LEARNING 分类全部论文