Research on fault diagnosis method of thermal power generating units based on process

被引:0
作者
Chen, Fei [1 ]
Huang, Shuhong [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Wuhan 430074, Peoples R China
来源
2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6 | 2008年
关键词
fault diagnosis; information entropy; information fusion; process; rotating machinery;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
At present, in the thermal power generating units, most fault diagnosis methods of rotating machinery rely on extracting eigenvalue from the vibration waveform. The vibration waveform signal is the representation of the condition. If the fault occurs, under certain condition, it is possible that the fault information is not revealed in the vibration waveform, or submerged by other information. Under such circumstance, the fault diagnosis method based on the randomly extractive information of condition can not well differentiate these faults. However, the fault, in any case, is accompanied by some symptoms. Under a condition, the vibration information of the fault may appear decentralized and random, but when the whole process is taken into consideration, the rules stand out To describe the rule of changes in the vibration process, this paper proposes a new diagnosis method based on the process, with the information entropy (IE) matrix as its identification index.
引用
收藏
页码:1407 / 1411
页数:5
相关论文
共 7 条
  • [1] Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter
    Endo, H.
    Randall, R. B.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (02) : 906 - 919
  • [2] Gui Zhonghua, 2004, Automation of Electric Power Systems, V28, P77
  • [3] LI HK, 2005, P I MAR ENG SCI TECH, P43
  • [4] Enhanced diagnostic certainty using information entropy theory
    Qu, LS
    Li, LM
    Lee, J
    [J]. ADVANCED ENGINEERING INFORMATICS, 2003, 17 (3-4) : 141 - 150
  • [5] Shen T., 2001, Chin. J. Mech. Eng, V37, P94, DOI [10.3901/JME.2001.06.094, DOI 10.3901/JME.2001.06.094]
  • [6] Detecting the singularities in engineering signals
    Yang, W. -X.
    Hull, J. Barry
    Seymour, M. D.
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2006, 175 (1-3) : 439 - 445
  • [7] Yuan X. H., 1999, J VIBRATION MEASUREM, V19, P187