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
来源：
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5 | 2012年 / 130-134卷
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
  • [31] Research on fault diagnosis of rotating machinery based on MSST
    Huang C.
    Chen H.
    Lei W.
    Li L.
    Meng Y.
    Zhao J.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (08): : 1 - 8and27
  • [32] Generalized sparse filtering for rotating machinery fault diagnosis
    Chun Cheng
    Yan Hu
    Jinrui Wang
    Haining Liu
    Michael Pecht
    The Journal of Supercomputing, 2021, 77 : 3402 - 3421
  • [33] Intrinsic component filtering for fault diagnosis of rotating machinery
    Zhang, Zongzhen
    Li, Shunming
    Lu, Jiantao
    Xin, Yu
    Ma, Huijie
    CHINESE JOURNAL OF AERONAUTICS, 2021, 34 (01) : 397 - 409
  • [34] Fault Diagnosis of Rotating Machinery: A Review and Bibliometric Analysis
    Chen, Jiayu
    Lin, Cuiying
    Peng, Di
    Ge, Hongjuan
    IEEE ACCESS, 2020, 8 : 224985 - 225003
  • [35] Research on Fault Diagnosis of Rotating Machinery of Vehicle Transmission
    Zhang, Tao
    Xue, Huiyuan
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC, CONTROL AND AUTOMATION ENGINEERING (MECAE 2017), 2017, 61 : 298 - 305
  • [36] Research on sparsity indexes for fault diagnosis of rotating machinery
    Miao, Yonghao
    Zhao, Ming
    Hua, Jiadong
    MEASUREMENT, 2020, 158 (158)
  • [37] Image Recognition Technology in Rotating Machinery Fault Diagnosis
    Gao, Guohong
    Bai, Linfeng
    Huang, Yong
    PROCEEDINGS OF THE 14TH YOUTH CONFERENCE ON COMMUNICATION, 2009, : 290 - 293
  • [38] A Fault Diagnosis Method of Rotating Machinery Based on LBDP
    Shi M.
    Zhao R.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 32 (14): : 1653 - 1658and1668
  • [39] Fault diagnosis method of rotating machinery based on SILPDA
    Dong X.
    Zhao R.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (02): : 16 - 22
  • [40] A new approach to intelligent fault diagnosis of rotating machinery
    Lei, Yaguo
    He, Zhengjia
    Zi, Yanyang
    EXPERT SYSTEMS WITH APPLICATIONS, 2008, 35 (04) : 1593 - 1600
12345