| Hydraulic power cart of aircraft is one of the important aerial ground supports equipment. It is much complicated in structure, and has high failure rate. The long period of diagnosis and low detecting precision of traditional fault diagnosis methods have seriously affected logistical support capabilities of hydraulic power cart of aircraft. Therefore, it is practical and theoretical to study fault diagnostic algorithms on hydraulic power cart for aircraft.Considering the shortage of conventional algorithms on hydraulic power cart for aircraft, the fuzzy logic reasoning algorithm is developed. This algorithm builds the fuzzy fault diagnosis matrix for hydraulic power carts of aircraft by means of combining experts experience and experience data. Fuzzy fault diagnosis matrix can be expanded and improved under non-programmed state, the accuracy of diagnoses is increased. In order to diagnose faults caused by multiple reasons, and to reduce the probability of misjudgment, the diagnostic results are filtered and determined for many times in the algorithm. Then, the matching degree between original symptom and preconditions in rule base is calculated by ways of Euclid approach degree, the accuracy and reliability of diagnostic results are further improved. The hardware design of the fuzzy fault diagnosis system for the hydraulic power cart of aircraft is introduced, considering the complexity of algorithm and working environment, this paper adopts high-performance ARM processor S3C2410 as main controller of fault diagnosis system for hydraulic power cart of aircraft. The corresponding peripheral circuit is designed, and the software design of fault diagnosis system is completed finally.The improved algorithm is tested on NETARM2410-S hardware experimental platform. The test results indicate that the presented algorithm can pinpoint the cause of faults according to one or several fault symptoms, and verify the correctness and feasibility of the improved algorithm. |
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