Research on vibration state monitoring and fault diagnosis system of chemical rotating machinery

被引:0
|
作者
Yang X. [1 ]
机构
[1] Chongqing Chemical Industry Vocational College, Chongqing
来源
Yang, Xinshun (xinshunyang38475@163.com) | 2018年 / Italian Association of Chemical Engineering - AIDIC卷 / 66期
关键词
Rotating machinery - Signal analysis - Failure analysis;
D O I
10.3303/CET1866125
中图分类号
学科分类号
摘要
The signal processing technology is used for the feature extraction of vibration signals of rotating machinery and thus special information can be obtained to diagnose the operation status of rotating machinery. Firstly, the real-time acquisition of vibration signals is studied and a multi-channel real-time vibration signal acquisition system is constructed. Then, the Access database platform is built on this basis and an on-line monitoring and fault diagnosis system of operating status is established to explore the application in specific projects. This paper proposes the application of holographic spectroscopy technology, shafting spatial vibration mode, numerical integration of acceleration signals in the vibration state monitoring and fault diagnosis of chemical rotating machinery. The comparative analysis of rotor signals is conducted through the application of the constructed system and verifies the effectiveness and accuracy of the algorithm. It shows this system can effectively eliminate the slight error of the time domain to a great extent and the monitoring and diagnosis results are more accurate. Copyright © 2018, AIDIC Servizi S.r.l.
引用
收藏
页码:745 / 750
页数:5
相关论文
共 50 条
  • [21] Research on B/S Mode-Based Rotating Machinery Remote Status Monitoring and Fault Diagnosis System
    Wang, LiGuo
    VIBRATION, STRUCTURAL ENGINEERING AND MEASUREMENT I, PTS 1-3, 2012, 105-107 : 747 - 750
  • [22] Fault diagnosis in rotating machinery
    Lees, A.W.
    Proceedings of the International Modal Analysis Conference - IMAC, 2000, 1 : 313 - 319
  • [23] Fault diagnosis of rotating machinery
    Edwards, S.
    Lees, A.W.
    Friswell, M.I.
    Shock and Vibration Digest, 1998, 30 (01): : 4 - 13
  • [24] Fault diagnosis in rotating machinery
    Lees, AW
    IMAC-XVIII: A CONFERENCE ON STRUCTURAL DYNAMICS, VOLS 1 AND 2, PROCEEDINGS, 2000, 4062 : 313 - 319
  • [25] Study on Remote Condition Monitoring and Fault Diagnosis System for Rotating Machinery Based on LabVIEW
    Wu, Chuanhui
    Gao, Yan
    Guo, Yu
    FRONTIERS OF ADVANCED MATERIALS AND ENGINEERING TECHNOLOGY, PTS 1-3, 2012, 430-432 : 1939 - 1942
  • [26] Rotating Machinery Vibration Signal Processing And Fault Diagnosis Based on LMD
    Bo, Ruirui
    Zhang, Ze
    2016 7TH INTERNATIONAL CONFERENCE ON MECHANICAL, INDUSTRIAL, AND MANUFACTURING TECHNOLOGIES (MIMT 2016), 2016, 54
  • [27] A visual vibration characterization method for intelligent fault diagnosis of rotating machinery
    Peng, Cong
    Gao, Haining
    Liu, Xiaoyue
    Liu, Bin
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 192
  • [28] Research on Rotating Machinery Vibration Fault Based on Support Vector Machine
    Zhang, Chao
    Liu, Deqing
    MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3, 2011, 139-141 : 2603 - 2607
  • [29] Research on Fault Diagnosis method for rotating machinery vibration based on wavelet transformation and probabilistic Neural Network
    Wu, Wen-Jie
    Huang, Da-Gui
    Hedongli Gongcheng/Nuclear Power Engineering, 2012, 33 (06): : 105 - 109
  • [30] Condition monitoring and diagnosis of rotating machinery by orthogonal expansion of vibration signal
    Toyota, T
    Niho, T
    Chen, P
    Komura, H
    CONDITION MONITORING AND DIAGNOSTIC ENGINEERING MANAGEMENT, 2001, : 725 - 732