Study on open equipment condition monitoring and fault diagnosis system based on internet

被引:0
|
作者
He, HL [1 ]
Wang, TY [1 ]
Deng, H [1 ]
Zeng, JX [1 ]
Wang, GF [1 ]
Rao, J [1 ]
机构
[1] Tianjin Univ, Sch Mech Engn, Tianjin 300072, Peoples R China
关键词
condition-monitoring; fault-diagnosis; internet; data-acquisition; signal-analysis; SOC; XPE;
D O I
10.1117/12.664295
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An open condition-monitoring system combined C/S (Client/Server) with B/S (Brower/Server) pattern was introduced. It consists of three parts of software: SE (Server-Terminal), ADE ( Analysis-Diagnosis-Tenninal) and DAE (Data-Acquisition-Terminal). SE can monitor every connection request from ADE or DAE user and determinate whether ADE or DAE can be run on client's PC. As a result, the system security is improved in a sense. Additionally, the system hardware part comprises two kinds of terminal portable instruments: DASOC(data-acquisition system on chip based-on the Cygnal MCU) and DSAI(dynamic signal analysis instrument based on an embedded OS:XPE). DASOC and DSAI can realize data-acquisition, signal analysis and data-transmission based-on internet. The system structure mode has been applied to a certain power plant's enterprise information network in Tianjin. Results show that the system is successful.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Gordian technique research on condition-based maintenance (CBM) condition monitoring and fault diagnosis model of aeronautic equipment
    Jiang, Wei-Wei
    Yin, He
    Yan, Jin
    Hou, Xue-Qiao
    Zhang, Liang
    DESIGN, MANUFACTURING AND MECHATRONICS (ICDMM 2015), 2016, : 1255 - 1261
  • [32] Condition monitoring and fault diagnosis
    Dekys, Vladimir
    XXI POLISH-SLOVAK SCIENTIFIC CONFERENCE MACHINE MODELING AND SIMULATIONS MMS 2016, 2017, 177 : 502 - 509
  • [33] DATASOCKET TECHNOLOGY AND ITS APPLICATION IN EQUIPMENT REMOTE CONDITION MONITORING AND FAULT DIAGNOSIS
    Wu Tao
    Liu Zhihua
    Liang Miaoyuan
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2016, 9 (02) : 491 - 508
  • [34] Condition Monitoring and Fault Diagnosis of Mechanical Equipment under Flexible Manufacturing Environment
    Yin, Baoming
    CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 904 - 907
  • [35] Study on Mechanical Equipment Fault Diagnosis System Based on Cloud Computing
    Hao, Wangshen
    Dong, Xinmin
    Han, Jie
    Lei, Wenping
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 2520 - 2523
  • [36] Equipment Condition and Environment Monitoring System of Railway Computer Room Based on Internet of Things Technology
    Yang, Huaxun
    Liang, Jing
    Huang, Ying
    PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING (ICMMCCE 2017), 2017, 141 : 1533 - 1536
  • [37] High-voltage equipment condition monitoring and diagnosis system based on information fusion
    Yongwei Li
    Zhenyu Wang
    Xingde Han
    Yalun Li
    Neural Computing and Applications, 2009, 18 : 447 - 453
  • [38] High-voltage equipment condition monitoring and diagnosis system based on information fusion
    Li, Yongwei
    Wang, Zhenyu
    Han, Xingde
    Li, Yalun
    NEURAL COMPUTING & APPLICATIONS, 2009, 18 (05): : 447 - 453
  • [39] The study of hydraulic machinery condition monitoring based on anomaly detection and fault diagnosis
    Liu, Yingqian
    Zhang, Rongyong
    He, Zhaoming
    Huang, Qian
    Zhu, Rongsheng
    Li, Huairui
    Fu, Qiang
    MEASUREMENT, 2024, 230
  • [40] The study of hydraulic machinery condition monitoring based on anomaly detection and fault diagnosis
    Liu, Yingqian
    Zhang, Rongyong
    He, Zhaoming
    Huang, Qian
    Zhu, Rongsheng
    Li, Huairui
    Fu, Qiang
    Measurement: Journal of the International Measurement Confederation, 2024, 230