Avionic Fault Diagnosis Expert System Based on Flight Data and BIT Information
According to the characteristics of onboard equipments fault diagnosis and the development tendency of this field,diagnostic technique and diagnostic method based on CBR are studied.A fault diagnosis method for a certain type of aircraft is put forward.This method adopts CBR strategy based on BIT message,flight parameter,and other fault symptoms.A fault diagnosis expert system is designed.The Rough Set theory is used in this system to process the fault symptoms to reduce the number and dimension of the symptoms and to calculate the weightness of each symptom.The Nearest Neighbor method is set as a global matching strategy which achieves the most matched results accurately.At last,the performance of this system is verified.
Fault diagnosis CBR Rough set theory Case similarity matching Nearest neighbor method Expert system
Dong Song Bin Han
School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China
国际会议
西安
英文
303-311
2013-11-25（万方平台首次上网日期，不代表论文的发表时间）