首页|Researchers at Hunan University Report New Data on Robotics (Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System)
Researchers at Hunan University Report New Data on Robotics (Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting originatingfrom Changsha, People’s Republi c of China, by NewsRx correspondents, research stated, “This articleexplores th e corresponding relationship between the equipment fault and grinding quality in a roboticgrinding system (RGS), and establishes a unified and lightweight moni toring and matching framework,providing a perceptual basis for accurate trackin g and effective control of grinding quality. First, amultichannel vibration ima ging method named Wavetrizorn is developed based on vibration signals, andthe i mages generated were used to train a fault diagnosis model for the equipment.”
ChangshaPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsHunan University
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