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Acquisition, expression and reasoning framework of wind turbine fault knowledge
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Junjie ZHU1, Xin REN1, Yan HAO2, Liping YANG2, Kui YANG2, Weiwei QIANG2, Yuliang DONG3, Jintao ZHU1
Thermal Power Generation | 2023, 52(3) : 73 - 80
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Thermal Power Generation | 2023, 52(3): 73-80
• Fault diagnosis and condition monitoring technologies of wind power system •
Acquisition, expression and reasoning framework of wind turbine fault knowledge
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Junjie ZHU1, Xin REN1, Yan HAO2, Liping YANG2, Kui YANG2, Weiwei QIANG2, Yuliang DONG3, Jintao ZHU1
Affiliations
  • 1.China Huaneng Clean Energy Research Institute Co., Ltd., Beijing 102209, China
  • 2.Huaneng Jiuquan Wind Power Co., Ltd., Jiuquan 735100, China
  • 3.Key Lab of Condition Monitoring and Control for Power Plant Equipment Ministry of Education, North China Electric Power University, Beijing 102206, China
Published: 2023-03-25 doi: 10.19666/j.rlfd.202207170
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Aiming at solving the problems of large number of wind turbine faults, complex fault knowledge relationship, large difference of knowledge expression and low efficiency of knowledge reasoning, a framework of acquisition, expression and reasoning of wind turbine fault knowledge is proposed. Firstly, through the failure mode and effect analysis method based on the fault tree analysis method, the expert knowledge of wind turbine trouble shooting and maintenance is comprehensively obtained and sorted out. Then, with the help of ontology theory, unstructured expert knowledge is expressed structurally to form a knowledge map and displayed visually. Combined with self-defined rules of ontology and causal reasoning model, the query and reasoning of fault causes are realized, which improves the efficiency of knowledge query and reasoning. Finally, the practicability of this method is illustrated by a specific unit fault case. The results of this study can provide a direction for the intelligent development of wind farm's operation and maintenance.

wind turbine unit  /  knowledge acquisition  /  knowledge expression and reasoning  /  overhaul and maintenance
Junjie ZHU, Xin REN, Yan HAO, Liping YANG, Kui YANG, Weiwei QIANG, Yuliang DONG, Jintao ZHU. Acquisition, expression and reasoning framework of wind turbine fault knowledge[J]. Thermal Power Generation, 2023 , 52 (3) : 73 -80 . DOI: 10.19666/j.rlfd.202207170
Funding
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  • Horizontal Project of China Huaneng Group Co., Ltd.(CERI/TO-CA-003-21E)
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Year 2023 volume 52 Issue 3
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Article Info
doi: 10.19666/j.rlfd.202207170
  • Receive Date：2022-07-16
  • Online Date：2026-01-23
  • Published：2023-03-25
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History
  • Received：2022-07-16
Funding
Horizontal Project of China Huaneng Group Co., Ltd.(CERI/TO-CA-003-21E)
Affiliations
    1.China Huaneng Clean Energy Research Institute Co., Ltd., Beijing 102209, China
    2.Huaneng Jiuquan Wind Power Co., Ltd., Jiuquan 735100, China
    3.Key Lab of Condition Monitoring and Control for Power Plant Equipment Ministry of Education, North China Electric Power University, Beijing 102206, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202207170
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