A Review of Fault Diagnosis Research Methods for CNC Machine Tools

With the rapid development of science and technology, the cycle of upgrading CNC machine tools is getting shorter and shorter, but the cost is still expensive. For enterprises that rely on CNC machine tools to process, production efficiency is on the one hand, and extending the working time of machine tools is also the key to create value. Therefore, fault detection and diagnosis are imminent. This paper summarizes several representative methods according to all the solutions of fault diagnosis. Since the birth of CNC machine tools, various novel fault detection methods, such as vibration diagnosis, nondestructive testing, expert system, fault tree, and deep learning, have gone from artificial to intelligent, from the original "look, hear, and touch" to advanced neural networks, whether mechanical detection methods, Or deep learning is a method to solve the problem, and the most appropriate method should be selected according to the actual situation.