The Study on Aero-Engine Fault Diagnosis Method Based on Reliability Data Fuzzy Semantic Network

摘要：

To cope with Aero-engine Fault Diagnosis Expert Systems low efficiency and accuracy, a new way to acquire fault knowledge based on reliability data is put forward. An original model based on reliability data fuzzy semantic network (FFTF fuzzy semantic network) is structured and the form description of the fuzzy semantic network model is given. A solid fault knowledge representation method is also proposed, which is mainly based on FFTF fuzzy semantic network and generation rules of the engine fault shallow knowledge acquired from outfield. The information-combined diagnosis reasoning way based on synthetic information knowledge representation is raised, and the reliability analysis and diagnosis checking to the engine gas path components fault are given. The result shows that the theory and method are feasible.

关键词： fuzzy semantic network fault diagnosis expert system

作者: LI Benwei GAO Yong WANG Yonghua SU Min SUN Tao

作者单位: Vehicle Engineering Department, Naval Aeronautical Engineering Academy, China

会议类型: 国际会议

会议名称: The First International Conference on Maintenance Engineering(首届维修工程国际学术会议)

会议地点: 成都

会议语种:英文

页码: 375-380

在线出版日期: 2006-10-15（万方平台首次上网日期，不代表论文的发表时间）