Research On Design And Application Of Fault Diagnosis And Maintenance System For Network Intelligent Hobbing Machine

Manufacturing servicisation and intellectualization is a new tendency indevelopment of machine tool manufacturing industry and the important researchdirection of development of high-end manufacturing industries. With the rapiddevelopment of the network and intelligent technology, the service-oriented intelligentfault diagnosis and maintenance become the basis of security to support thedevelopment of high-end CNC machine tools.At present, the fault diagnosis of CNCmachine tools for single equipment and the use of artificial subjective judgment, and theservice-oriented of CNC machine tools intelligent fault diagnosis and maintence needsthe knowledge-based fault diagnosis decision-making and scalable network servicesmodel theoretical support. Hobbing machine as recognized as the most complex one ofthe workhorses, which intelligent level directly reflects the state of development of themachine tool manufacturing industry and the manufacturing capability of the importantindustries of the national economy. Therefore, this article considered the hobbingmachine fault diagnosis and maintenance knowledege of intelligent decision-makingand the maintenance services of hobbing machine as the research object, explores thehobbing machine fault diagnosis and maintenance system for networked and intelligentdesign and application, and through the system development to verify the theorycorrectness and the system’s utility.Because of the hobbing machine tool distributing broadly, complex structure andfault polyphyleticism, unexpected characteristics, many difficulties on the faultdiagnosis and maintenance services are caused. On these issues, this paper given thedefinition of network intelligence hobbing machine fault diagnosis and maintenancesystem, and described its functions. Therefor, a diagnosis and maintenance servicemodel which balanced hobbing machine manufacturers, user organizations andthird-party joint venture are proposed, and build the hobbing machine fault diagnosisand maintenance system architecture whice include the network intelligent terminalsand services platform.The intelligent key technologies which support hobbing machine fault diagnosisand maintenance system were studied. Firstly, this paper researchs the hobbing machinefault mechanism and fault modes of perception, uses multi-source fault informationacquisition method to obtain fault information, and combines with the structrual characteristics and the runing of the hobbing machine performance variation, analysesthe process of multi-source fault information acquisition of the hobbing machine faultdiagnosis; Secondly, this paper builds the ontology-based hobbing machine faultdiagnosis and maintenance of knowledge representation model, reveals the evolution ofthe content and structure of fault diagnosis knowledge, uses the FACT++tools to realizethe deductive reasoning of the hobbing machine fault; Finally, the fuzzy semanticknowledge acquisition technology of hobbing machine fault diagnosis and maintenanceis discussed, through the fuzzy semantic knowledge and diagnosis knowledge contentand structrue analysis, built the intelligent recognition model, and analyses the faultdiagnosis fuzzy semantic recognition process, explains the key technologies.Based on the fault diagnosis and maintenance of model, architecture and intelligentsupport technology, network intelligence hobbing machine fault diagnosis andmaintenance system for the development and application is realized. Through thefunctional architecture of the intelligent terminal system and service platform, and thedatabase and knowledge base design of system, we realized the fault diagnosis andmaintenance network intelligent system of hobbing machine, and achieved betterapplication effect.