Holographic Spectrum in the Remote Rotating Machinery Fault Diagnosis

被引:1
|
作者
Tang, WuChu [1 ,2 ]
Shi, ZhiHui [1 ]
Kang, DaLi [3 ]
机构
[1] Dalian JiaoTong Univ, Sch Mech Engn, Dalian 116028, Peoples R China
[2] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China
[3] Dalian Shenglilai Monitoring Tech Corp, Dalian 116024, Peoples R China
关键词
Rotating machinery; Fault diagnosis; Holographic spectrum; MD-Base database;
D O I
10.4028/www.scientific.net/AMM.130-134.2836
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, a remote real-time online rotating machinery monitoring system, which was developed and tested in the Industrial application, is presented including its remote monitoring sub-system, fault diagnosis sub-system. First, the system architecture is introduced. Next, a web-based remote monitoring system is designed, which allows researches and engineers to remotely monitor the health of the machine from any remote geographic location through the Internet. Finally, the holographic spectrum technology in this system is discussed as well for the purpose of providing accurate and reliable diagnosis of the machine states and accident prevention.
引用
收藏
页码:2836 / +
页数:2
相关论文
共 50 条
  • [21] A new fault diagnosis method of rotating machinery
    Chen, Chih-Hao
    Shyu, Rong-Juin
    Ma, Chih-Kao
    SHOCK AND VIBRATION, 2008, 15 (06) : 585 - 598
  • [22] A Novel Method for Fault Diagnosis of Rotating Machinery
    Tang, Meng
    Liao, Yaxuan
    Luo, Fan
    Li, Xiangshun
    ENTROPY, 2022, 24 (05)
  • [23] A method for intelligent fault diagnosis of rotating machinery
    Chen, CZ
    Mo, CT
    DIGITAL SIGNAL PROCESSING, 2004, 14 (03) : 203 - 217
  • [24] Bispectrum analysis for rotating machinery fault diagnosis
    Yang, JT
    Ding, Q
    INTEGRATING DYNAMICS, CONDITION MONITORING AND CONTROL FOR THE 21ST CENTURY - DYMAC 99, 1999, : 383 - 388
  • [25] Study on Fault Diagnosis of Rotating Machinery Based on Lyapunov Dimension and Exponent Energy Spectrum
    Wang, Bingcheng
    Ren, Zhaohui
    MANUFACTURING ENGINEERING AND AUTOMATION II, PTS 1-3, 2012, 591-593 : 2042 - +
  • [26] Rotating machinery fault diagnosis based on multiple fault manifolds
    Su, Zu-Qiang
    Tang, Bao-Ping
    Zhao, Ming-Hang
    Qin, Yi
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2015, 28 (02): : 309 - 315
  • [27] RESEARCH ON FAULT DIAGNOSIS SYSTEM OF ROTATING MACHINERY BASED ON MACHINERY CONFIGURATION
    Chen Ping
    Xie Zhijiang
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2008, 7 (01) : 41 - 44
  • [28] An incipient fault diagnosis method for rotating machinery based on bilateral spectrum and precession energy difference density spectrum
    Gu, Zhenyu
    Zhu, Xuelian
    Zeng, Yuan
    Mao, Tiedong
    JOURNAL OF VIBROENGINEERING, 2019, 21 (02) : 360 - 369
  • [29] Cyclostationary Analysis towards Fault Diagnosis of Rotating Machinery
    Tang, Shengnan
    Yuan, Shouqi
    Zhu, Yong
    PROCESSES, 2020, 8 (10) : 1 - 15
  • [30] Fault Diagnosis of Rotating Machinery based on the Minutiae Algorithm
    Mogal, Shyam
    Deshmukh, Sudhanshu
    Talekar, Sopan
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2023, 13 (05) : 11649 - 11654