Evaluation on Mechanical Fault Diagnosis of CNC Machine Tool System Based on Data Information Fusion

Abstract In modern industrial production, CNC (Computerised Numerical Control) machine tools are very common equipment. and related technologies are also developing vigorously. Its structure and related accessories become more and more complex. Under this condition, CNC machine tools are very prone to failure, so the fault diagnosis of CNC machine tools is particularly important. However, the actual operation of the machine tool is very complex. At present, mechanical diagnosis has the problem of single sensor information. On this basis, this paper proposes a method of mechanical fault diagnosis of CNC machine tool system based on data information fusion, and studies the optimization design of traditional mechanical fault diagnosis through the common calculation method in D‐S evidence theory(dempster‐shafer evidence theory). Through testing the mechanical fault diagnosis system of CNC machine tool system designed in this paper, the accuracy of fault detection is 95.50%, 96.32%, 90.12%, 94.43% respectively, and the accuracy index of fault location was 0.85; the satisfaction of factory maintenance personnel reached 88% after use. According to the above data, it can be judged that the mechanical fault diagnosis system of CNC machine tool system based on data information fusion has obvious advantages for the traditional diagnosis system, and has the value of in‐depth research. This article is protected by copyright. All rights reserved.