• DocumentCode
    3471936
  • Title

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

  • Author

    Chen, Fei ; Huang, Shuhong

  • Author_Institution
    Sch. of Energy & Power Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    1407
  • Lastpage
    1411
  • Abstract
    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.
  • Keywords
    eigenvalues and eigenfunctions; fault diagnosis; power generation faults; thermal power stations; fault diagnosis method; information entropy matrix; rotating machinery; thermal power generating units; vibration waveform; Data mining; Fault detection; Fault diagnosis; Information analysis; Information entropy; Information processing; Machinery; Military computing; Power generation; Vibration measurement; Fault diagnosis; information entropy; information fusion; process; rotating machinery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523626
  • Filename
    4523626