首页|New Robotics Study Findings Have Been Reported by Investigators at Hunan University (A Signal-to-image Fault Classification Method Based On Multi-sensor Data for Robotic Grinding Monitoring)
New Robotics Study Findings Have Been Reported by Investigators at Hunan University (A Signal-to-image Fault Classification Method Based On Multi-sensor Data for Robotic Grinding Monitoring)
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
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingfrom Changsha, People’s Republic of China, by NewsRx journalists, research stated, “This paper establishesa framework to analyze the state of grinding equipment by vibration signals of multi-sensors, which aimsto solve the difficult problem of online quality monitoring in the grinding process. Firstly, the MSDP(modified symmetrized dot pattern) method is developed to transform time series into visualized images,which integrates multi-sensor data while involving more representative information for classification.”
ChangshaPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsHunan University