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Theories of expert system and fuzzy artificial neural network (ANN) are applied to solve the problem of fault diagnosis in the aircraft fuel system. A multilayer neural network model of the aircraft fuel system is put forward and the integrated aircraft fuel fault diagnostic expert system which solves the problems of knowledge representation and knowledge acquisition of traditional expert system is...
Nowadays, the Built-in test (BIT) technique is adopted widely in aircraft fault diagnosis and maintenance. However, because of the complicated structure, mass data transmission, and especially propagations of coherent faults in aircraft, it is difficult to localize faults and to guarantee the accuracy and efficiency of BIT fault diagnosis. To reduce the high BIT false alarm rate (FAR), the coherent...
For the problem of fault diagnosis of aircraft fuel system, a new method using CLIPS to build expert system is presented in this paper. By building knowledge base, infer engine and using CB tool, the relevant software environment is set up. Consequently the fault diagnostic system of aircraft fuel system is successfully developed. The emulation results prove that the intelligence of expert system...
An effective method, integrating expert diagnosis system with compulsive oscillation algorithm which has been used in the field of missile, is researched for the complex damage fault diagnosis of control surface on UAV with longtime flight. For this method, a detailed depiction is given. Furthermore, the simulation, based on multi-mode UAV model (with and without failure) built, is carried out and...
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