Research on State Monitoring of CNC Machine Tool Based on Dual Dimension Feature

摘要

At present, the study of Computerized Numerical Control (CNC) machine tool state monitoring is still in the primary stage, and the mechanism of fault early warming has not industry norms yet. Most of the internal information collection of CNC system are used for the display of machining state, and the research of external information collection and processing mostly installs the sensor on the specific parts, which is lack of engineering feasibility. This paper puts forward a method of CNC machine tool state monitoring based on two-dimension feature. The internal data of CNC system and the data of external sensor are integrally studied. Firstly, the internal collection method of CNC system based on Dynamic Data Exchange (DDE) is proposed. Through running the standard program, this paper carries on the automatic collection, processing and analysis to the key indexes, such as power, current, temperature and so on. Secondly, by calculating and analyzing the characteristic frequency of the key components, the integral installation method of sensor is put forward to improve the feasibility of engineering application. Finally, by combining with the spot practical situation, the feasibility of the above research is verified. This study preliminarily realizes the engineering application of CNC machine tool state monitoring, and lays the foundation for the norm of following fault early warning of CNC machine tool.