China Mechanical Engineering ›› 2012, Vol. 23 ›› Issue (17): 2075-2080.

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Research on Intelligent Fault Diagnosis for Large-scale Wind Turbines Based on Ontology

Zhou Anmei;Yu Dejie;Wu Xueming;Liu Jian;Li Rong   

  1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410082
  • Online:2012-09-10 Published:2012-09-12
  • Supported by:
     
    National High-tech R&D Program of China (863 Program) (No. 2009AA04Z414);
    Hunan Provincial Science and Technology Foundation ( No. 2012SK3184)

基于本体的大型风力发电机组故障智能诊断研究

周安美;于德介;吴雪明;刘坚;李蓉   

  1. 湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
  • 基金资助:
    国家高技术研究发展计划(863计划)资助项目(2009AA04Z414);湖南省科技计划资助基金资助项目(2012SK3184);广东省省部产学研结合项目(2009B090300312) 
    National High-tech R&D Program of China (863 Program) (No. 2009AA04Z414);
    Hunan Provincial Science and Technology Foundation ( No. 2012SK3184)

Abstract:

Aimed at the problem that some fault diagnosis methods for large-scale wind turbines are more complicated and the maintainers are hard to grasp it, an ontology-based intelligent fault diagnosis system for wind turbines was developed. It can assist the maintainers to select the appropriate fault diagnosis methods. The system described the domain knowledge in the form of ontology, and provided an interface for information interactivity. The rule sets for fault diagnosis methods reasoning were built. An ontology-based intelligent fault diagnosis system was built based on Java platform, and it can be used for intelligent fault diagnosis of wind turbines.

Key words: fault diagnosis, ontology, ontology reasoning, wind turbine

摘要:

针对目前快速发展的风电行业中大型风力发电机组故障诊断方法多、理论复杂,维护人员难以掌握的问题,提出了基于本体的风力发电机组故障智能诊断系统,辅助维护人员选择合适的故障诊断方法。系统以本体形式表示风电机组故障诊断领域知识,提供了与用户进行信息交互的接口,并建立了诊断方法推理所需的规则集。基于Java平台开发了基于本体的风力发电机组故障智能诊断原型系统,该系统可用于风电机组故障智能诊断。

关键词: 故障诊断, 本体, 本体推理, 风力发电机组

CLC Number: