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Airborne Equipment Intelligent Fault Diagnosis System

Posted on:2005-03-20Degree:MasterType:Thesis
Country:ChinaCandidate:W L WuFull Text:PDF
GTID:2192360125954326Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
The performance test and fault diagnosis for air-borne equipments is an important facet of airplane maintenance in ground service. There are many kinds of air-borne equipments and the signals to be measured are complex, it is hard to attain the goal of fault diagnosis and isolation just use one method. The intelligent fault diagnosis system adopts several methods and integrates three subsystems which are intelligent analysis system, fault-tree diagnosis system and maintenance guidance system in the fault diagnosis platform. This paper also tests each subsystem by the fault diagnosis for typical equipment.The expert system, the fuzzy logic and the NN are combined to improve the test efficiency, in the design of intelligent analysis system, In the design of the fault-tree diagnosis system, the property of the fault tree nodes is defined which enriches the form of the fault tree. The maintenance guidance system doesn't depend on the data of the performance test, it solves the problem of fault orientation.The comprehensive automatic test equipment(XX-ATE) for xx series airplanes can test 172 LRUs on the xx-series airplanes, its test efficiency is higher than the test equipment for archetype. The system has good expansibility, it can be extended to other kind of airplane's fault diagnosis system.Finally this paper explains the shortcomings of the intelligent fault diagnosis system and points out the future direction of the fault diagnosis.
Keywords/Search Tags:air-borne equipment, fault diagnosis, intelligent diagnosis, expert system, NN(neuro-net), fuzzy logic
PDF Full Text Request
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