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

被引:0
|
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;
D O I
暂无
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.
引用
收藏
页码:119 / 123
相关论文
共 50 条
  • [41] Evidence-based fault tree analysis of the hydraulic system in CNC machine tools
    Chen, Hong-Xia
    Xie, Sui-Xin
    Zhang, Jun-Feng
    Chen, Wang-Hao
    Niu, Bo
    Zhang, Jiao-Teng
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2024, 40 (06) : 3141 - 3160
  • [42] Wind Turbine Pitch System Condition Monitoring and Fault Detection Based on Optimized Relevance Vector Machine Regression
    Wei, Lu
    Qian, Zheng
    Zareipour, Hamidreza
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (04) : 2326 - 2336
  • [43] Remote monitoring and maintenance system for CNC machine tools
    Mori, M.
    Fujishima, M.
    EIGHTH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2013, 12 : 7 - 12
  • [44] Vibration-Based Wireless Machine Condition Monitoring System
    Ikram, Waqas
    Chen, Su-Liang
    Harvei, Trygve
    Olsen, Thomas
    Mikalsen, Espen
    Svoen, Geir
    Froystein, Sverre
    Myhre, Bard
    2014 IEEE EMERGING TECHNOLOGY AND FACTORY AUTOMATION (ETFA), 2014,
  • [45] Machine Condition Monitoring System Based on Edge Computing Technology
    Halenar, Igor
    Halenarova, Lenka
    Tanuska, Pavol
    Vazan, Pavel
    SENSORS, 2025, 25 (01)
  • [46] Development of a web-based condition monitoring and control system for CNC milling processes
    Bllau, K
    Cheng, K
    Whitbread, M
    Taylor, GE
    ADVANCES IN E-ENGINEERING AND DIGITAL ENTERPRISE TECHNOLOGY-I, PROCEEDINGS, 2004, : 391 - 400
  • [47] Integrated study of condition monitoring and fault diagnosis system for flexible manufacturing system
    Wen Xi-qin
    Zhao Zhong-min
    Xie Zhi-yu
    MATERIALS SCIENCE AND ENGINEERING, PTS 1-2, 2011, 179-180 : 678 - +
  • [48] Expert system design for fault diagnosing in CNC machine tools
    Unsacar, F
    Halkaci, S
    Majlessi, A
    INTEGRAL METHODS IN SCIENCE AND ENGINEERING, 2000, 418 : 327 - 332
  • [49] Research on fault diagnosis for CNC machine of Flexible Manufacturing System
    Li Hui
    Mao Jun
    Li Xinhong
    Xin Zhongwei
    ROCOM'09: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND MANUFACTURING TECHNOLOGY, 2009, : 91 - 96
  • [50] Fault analysis and treatment of CNC machine tool servo system
    Shi, Yabei
    Yang, Sun
    RESEARCH ON MECHANICAL ENGINEERING, CIVIL ENGINEERING AND MATERIAL ENGINEERING, 2014, 454 : 78 - +