Study of CNC machine working condition monitoring and fault prediction system based on PHP

被引:0
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作者
Wang, Hongjun [1 ,2 ]
Xu, Xiaoli [1 ]
Wan, Peng [2 ]
机构
[1] Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing 100192, China
[2] School of Mechanic and Electric Engineering, BISTU, Beijing 100192, China
关键词
Computer control systems - Forecasting - Production efficiency - Information management - Condition based maintenance - Least squares approximations - Machine tools;
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中图分类号
学科分类号
摘要
The recent progresses in mechanical system condition monitoring technology based on the inter-net was reviewed and presented. The CNC machine tools working condition plays an important role for the flow shop production line for the products quality, production efficiency and production cost. The framework of the production line CNC machine tools working condition monitoring and fault prediction system (E-MAX System) is presented. The functions of the system, are discussed in detail. The least-square method could be employed to collect and analyze the malfunction of the CNC machine tools to obtain the MTBF of key equipments and providing technical support for the maintenance based on practice data from the workshop. CNC machine tools working condition monitoring and fault forecasting System (E-MAX) was designed and developed based on the platform of Apache, PHP and MySQL. This system has several significant functions, including information consultation, working condition monitoring and fault prediction, maintenance plan and strategies. The system is a feasible tool for enterprises in terms of information management of the production line and equipment maintenance based on the conditions of the equipment.
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页码:119 / 123
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