Design & Realization Of Fault Removal Expert System For Modern Airliner

This article represents the necessity for the development of Aircraft Fault Diagnosis Expert System, and analyses the extensive application prospect of this software. It also explains briefly on the knowledge foundation and the implementation of this system. The subject deals with many knowledge including Artificial Intelligence, Expert System, Neural Network, database, etc.This software belongs to Case-base Expert System, the top story of it is knowledge base and inference engine, both are introduced in detail:(1)The stress is laid on the case-source and construction of the case-storage, including the characteristic, form processing and storage of fault, etc.(2)The approaches of reasoning and searching in this system are explained, mainly including the searching index and self-learning mechanism. The article introduces in detail the structure of index, and its realization of algorithm and schematic of program structure of Self Organizing Map (SOM); and explains the feasibility of SOM through examples.Based on the article, the software prototype of the Fault Diagnosis Expert System of A340 has already been developed, which proved the correctness and the feasibility of the methods used in this article. The software system for the other types of aircraft, such as MD11, A319/320/321, is still in development.