The Bearing Fault Diagnosis Of CNC Machine Tool Feed System Based On Support Vector Machine

In recent years, China has made great efforts to develop the equipment manufacturing industry, Increased the key components of CNC equipment of research and development, production, manufacturing, and fault diagnosis. In order to meet the production of higher quality and precision machining requirements, achieve the all-round development of the equipment manufacturing industry, research and development of the national numerical control equipment has been included in the the Eleventh Five major science and technology. In the CNC machining, the work state of the rotary member is the key factors to ensure that the processing quality. in the equipment manufacturing industry CNC machine tools occupies an important position, the rolling bearing is a very critical component of CNC machine tools, When the machine bearing failure, inevitably impact on the machine,data show that30%of the CNC equipment failure due to bearing failure, once the bearing failure it will seriously affect production efficiency, and the serious situation caused to major accidents. Therefore, to carry out online fault diagnosis of CNC machine tools Rolling monitor the operating status of the machine tool bearings, has important practical and economic significance.This paper analyzes the CNC machine tool feed system commonly used types of bearing components, as well as the main structure of the rolling bearing, on the basis, Determined the object of study is angular contact ball bearings, analyze of the main bearing failure’s form and formation mechanism and fault vibration frequency, proposed the bearing fault diagnosis method based on the vibration signal and support vector machine, analyzed vibration signals of wavelet packet analysis method, detecting vibration signals was conducted wavelet packet decomposition, get wavelet packet energy as feature vectors, Finally, through experimental analysis this method is verified.First of all, start from the the Rolling main types of structural features, the main failure mode of CNC machine tool feed system of rolling bearings as well as the various failure modes of the causes and phenomena, on this basis, summarizes the failure modes, causes phenomenon; When the machine tool feed bearing failure, it will impact the CNC machine tools, this paper analyzes the rolling bearing common fault of CNC machine tool feed system, The main feed of machine tools error and produced the phenomenon were summarized; In-depth and detailed introduct to the characteristics of the vibration signals.Secondly, this paper design the rolling bearing fault diagnosis software and hardware systems, achieve fault diagnosis system based on LabVIEW and MATLAB software, include the data acquisition and data analysis and processing, data analysis is mainly to achieve vibration signals of wavelet packet decomposition and wavelet packet energy calculations, then establish a support vector machine model using MATLAB Support Vector Machine Toolbox,achieved Rolling fault diagnosis pattern recognition.Again, Build bench on the802Dsl Siemens CNC machine tools,to the Rolling of the failure of the feed system, carried out experimental analysis, Verify the validity of CNC machine tools ball bearing fault diagnosis based on support vector machine.Finally, collect the rolling bearing vibration signal based on the PXI-6281multifunction data acquisition card data acquisition technology and data management techniques and methods based on Microsoft Access database LabVIEW platform, developed the data acquisition module, data processing module and data CNC machine tool feed system analysis module composed of rolling bearing fault diagnosis system.