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 factory´s statistical data and expert experience data; second, establish a fault diagnosis model through fuzzy production rules, model´s 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.