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首页> 外文期刊>Robotics & Machine Learning Daily News >Study Findings on Robotics Reported by Researchers at Guangdong University of Technology (Research on Event Logic Knowledge Graph Construction Method of Robot Transmission System Fault Diagnosis)
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Study Findings on Robotics Reported by Researchers at Guangdong University of Technology (Research on Event Logic Knowledge Graph Construction Method of Robot Transmission System Fault Diagnosis)

机译:研究结果对机器人研究人员报道广东科技大学(研究事件逻辑知识图施工机器人传动系统故障的方法诊断)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on robotics. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Knowledge graph technology has important guiding significance for efficient and orderly fault diagnosis of robot transmission system. Taking the historical robot maintenance logs of robot transmission system as the research object, a top-down fault diagnosis event logic knowledge graph construction method is proposed.”
机译:机器人技术与新闻记者新闻编辑机器学习日常新闻-每日新闻调查人员发表新的报告机器人。根据广州的新闻报道,中华人民共和国NewsRx记者,研究指出,“知识图技术具有重要的指导意义高效有序的机器人故障诊断传输系统。机器人传动系统的维护日志研究对象,一个自上而下的故障诊断事件逻辑知识图施工方法提出了。”

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