Research On A Configurable System Of Machine Fault Diagnosis Algorithm

The machine tool is a multiplex system integrating electronics,mechanics,hydraulics,pneumatics,optics and many other technologies.In the course of production and processing,any part of the machine tool fails,which will affect the normal operation of the machine tool.In general,faults are accompanied by several abnormal phenomena.Because the components of machine tools are very complex,their types,functions,and principles are also different,making it difficult to diagnose faults.The traditional maintenance and diagnosis work is based on manual work.In the actual production operation,due to the comprehensive consideration of cost and other factors,it is impossible to completely complete the maintenance work by the maintenance expert.Therefore,it is necessary to develop a smart software that can quickly diagnose the fault of the machine tool,assist other non-experts to complete the repair work,and restore the normal operation of the machine tool in time.This will greatly promote the production and operation of the company.Based on this,this paper takes the numerical control machine tool as the research object,designs and develops the configurable system of machine tool fault diagnosis algorithm.Firstly,according to the research status of fault diagnosis technology and fault diagnosis system both at home and abroad,the requirements of the existing fault diagnosis system of the machine tool are analyzed,the function features and implementation methods of the configurable system of the fault diagnosis algorithm of the machine tool are determined,and the fault diagnosis algorithm of the machine tool is configurable.The system has a four-tier architecture based on the device layer,support layer,processing layer,and functional layer,and elaborates the key technical points for implementing configurable functions of the system algorithm.Next,four key technologies for realizing the configurable function of the system algorithm are studied.First,the fault diagnosis plug-in model is defined,and the plug-in input and output parameters integrated into the system for fault diagnosis are specified,which facilitates the management of different plug-ins for the fault diagnosis algorithm configurable system of the machine tool.Second,the fault diagnosis plug-in packaging method was described.According to the plug-in function requirements and information storage requirements,the plug-in function structure was designed.Thirdly,it describes the management method of machine tool fault diagnosis algorithm configurable system plug-in.Fourthly,the correlation method between the plug-in input parameters and the machine operating status data collection platform^[1]and the knowledge association method of plug-in diagnosis results are described.Then,based on the previous design and key technology research,the fault diagnosis algorithm configurable system of the machine tool is designed in detail.The function model of the system is established.The system is divided into plug-in management,plug-in information storage,plug-in configuration,knowledge correlation,plug-in identification.The results were processed in six functional units,and the function of each functional unit was described in detail.By designing the fault diagnosis algorithm of the machine tool,the database of the system can be configured to ensure the normal realization of the system function.In addition,the information transmission requirements between the configurable system and the machine-configurable intelligent fault diagnosis system can be configured according to the machine fault diagnosis algorithm,and the data items for data transmission are specified.Finally,based on the above system architecture design,key technology research and detailed design,a configurable system of fault diagnosis algorithm for machine tools was developed.The development process was described using the rolling bearing fault diagnosis plug-in as an example.The system functions were verified using the rolling bearing fault diagnosis plug-in and headstock fault diagnosis as examples.