The Research of Aircraft Fault Diagnosis Based on Adaptive FPN
For aircraft equipment being more and more complex, it makes fault diagnosis more and more difficult. In this paper a measure based on adaptive fuzzy Petri nets (FPN) for fault diagnosis is proposed. First, deal with repair factorys statistical data and expert experience data; second, establish a fault diagnosis model through fuzzy production rules, models output is the location of fault cause, which provides the suggestion for maintenance decision-making; and finally amend model parameters according to actual maintenance result. Through the simulation on maintenance data, it is shown that the model can be quickly and efficiently identify the Causes for failure to improve the efficiency of maintenance. The method is clear and intuitive, easy-to-achieve on the computer for the establishment of a maintenance decision support system provides a new way.
Fault Diagnosis Adaptive Fuzzy Petri Net Aviation Maintenance
Zhang Peng Zhao Shiwei Wang Yake
Engineering Techniques Training Center, Civil Aviation University of China, Tianjin, 300300, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5252-5255
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）