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A diagnostic knowledge model of wind turbine fault

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Hongwei Wang
  • Wei Liu
  • Zhanli Liu
With the development of the wind power industry, wind power has become one of the main green generation energy. At the same time, with the wind power installed capacity increasing, the failure rate gradually growth. As wind turbine is a complex electromechanical equipment, the fault diagnosis for this kind of equipment is also a complicated process. Focused on the current shortage of fault diagnosis knowledge representation, this paper proposes a diagnostic knowledge model for wind turbine and also elaborates the model structure definition with a target to ensure the accuracy of fault diagnosis. Besides, this model can also offer assistance reference model for researchers in related fields to develop advanced methods for sharing and reuse of diagnostic knowledge.
Original languageEnglish
Title of host publicationIntelligent Robotics and Applications
Subtitle of host publication10th International Conference, ICIRA 2017, Wuhan, China, August 16–18, 2017, Proceedings, Part III
EditorsY. Huang, H. Wu, H. Liu, Z. Yin
Number of pages11
ISBN (Electronic)978-3319652986
ISBN (Print)978-3319652979
Publication statusPublished - Sep 2017
EventInternational Conference on Intelligent Robotics and Applications (ICIRA) - Wuhan, China
Duration: 16 Aug 201718 Aug 2017

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Intelligent Robotics and Applications (ICIRA)

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