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Expert system is widely used in fault diagnosis, but how to obtain knowledge is a bottleneck restricting its development. Data contains rich information about the machine, and acquiring knowledge from it or data mining in other words is considered as an effective way solving this problem. An algorithm based on rough set and genetic algorithm for feature reduction is proposed in this paper. Minimal...
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...
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