Research On Knowledge-Based Fault Diagnosis Expert System Of The Civil Aviation Aircraft

The maintenance of civil aircraft is mostly based on the analysis of maintenance staff. In this paper a Fault Diagnose Expert System is designed to make the process of maintenance easier and more intelligent. The designing is based on the demand of the airline company and the original database of the aircraft maintenance. We choose the Visual C#.net as the developed language and Sql Server database as tools, and adopt "Client-Server-Browser" as the main frame of the fault Diagnose expert system. In this paper we put forward two work models, including the system study itself and fault diagnose automation, and four mechanisms, including "consult-answer-study", reliability analysis, categorizing and spot-checked mechanisms. For realizing the purpose, some methods are developed as following: designing a serial network algorithm and a parallel algorithm which are used to comprehend the fault information; using store procedure to match knowledge; establishing the dictionaries and models matching tools; and in the paper some new ideas in expert systems fields are presented for its intelligence and automation.