Aircraft Oil System Fault Detection Expert System

Abstract

For the problem of fault diagnosis of aircraft oil 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 oil system is successfully developed .The emulation results prove that the intelligence of expert system works perfectly and the faults of oil system are diagnosed exactly and fast, furthermore, effective methods of reconstruction can be brought forward in the expert system. It is entirely practicable in aircraft oil fault diagnosis system. knowledge acquisition. Aircraft oil system, an important system of aircraft, affects the aircraft's safety greatly. It is necessary to develop fault detection of aircraft oil system. The future aircraft oil system must have the function of fault detection. Through the information of sensors and AI (artificial intelligence) the aircraft oil's fault was detected exactly and timely. By this idea, the paper studied the application of expert system to diagnose the fault in aircraft oil system. Using CB (C++ Builder) and CLIPS (C Language Integrates Product System) programming tools a digital simulation platform was designed. Finally the simulation example shows this simulation platform is a good simulation and test tool for aircraft oil system fault detection. We report mainly on our experiences of diagnosing the generic type of fault of aircraft oil system through expert system. Based on detailed analysis of aircraft oil system fault pattern, we set up the fault tree and ulteriorly build the knowledge base and infer engine, and through the embedded programming of CLIPS language, the aircraft oil fault diagnostic expert system (AOFDES) has been designed and realized. It proved that the faults are diagnosed exactly; furthermore, effective methods of reconstruction can be brought forward in the expert system.