关键词: 制造系统, 数据融合, 分数阶偏微分, 工业机器人

Abstract: In the application of fault diagnosis technology of manufacturing equipment,the position of industrial robot is in a random change state at work.When using wireless network technology to realize real-time detection of its information,there are great differences between test data that affects the reliability of fault diagnosis system due to the differences between the positions of robots and the performance of detection equipment.Based on the study of calculus theory and its application characteristics in information processing,a mobile device detection data fusion processing model was established based on fractional partial differential,which was applied to the robot detection information data fusion processing and fault diagnosis experiment in manufacturing system.The research showed that the fractional partial differential operator had the dual functions of enhancing signal strength and improving the accuracy of detection data in the fusion processing of robot information data in manufacturing system,which could effectively improve the reliability of logistics robot fault diagnosis system.

Key words: manufacturing system, data fusion, fractional partial differential, industrial robot