Fault Characteristics Analysis of Industrial Robot Based on Fault Tree

Abstract

In order to construct the predictive maintenance optimization model, this paper takes the robotic intelligent processing and production workstation as an example, and analyzes the fault characteristics of the equipment on the workstation and the fault characteristics of the key components. The failure characteristics of the equipment can be characterized and the fault characteristic parameters need to be monitored, and the failure threshold is finally determined. This method can make the multi-equipment system maintenance timing planning and processing to get a reasonable arrangement and organization.