2016 Information Technology and Mechatronics Engineering Conference (ITOEC 2016)

56 / 2015-12-31 21:30:18

Simulation of Engine’s Rub – impact Fault Detection Model Based on Flight Data

During the status of real - time flight monitoring, it is related to the safety of flight that the accuracy of engine’s rub-impact fault detection under the strong vibration environments. Under the strong vibration environment, when engine goes to stationary state, the engine’s rub-impact fault is easy to happen, and they are often happened simultaneously. However, there is no correlation between the vibration signal faults. Traditional fault mining methods in the engine’s rub-impact fault detection process, it only can detect this fault the vibration signal, so that fault detection is not accurate.In order to solve this problem, the paper proposed an engine’s rub-impact fault detection method based on improved association rule mining. The associated clustering process are made with the data of engine’s rub-impact fault, to obtain the classification matrix of sample space and update the data of engine’s rub-impact fault. According to updated results, the association probability values of the data of engine’s rub - impact fault were calculated to obtain probabilistic decision. The association rules mining was made with data of aircraft’s rub-impact fault, so as to realize the optimized detection for the data of engine’s rub-impact fault. The experiment results show that using the improved association rules algorithm to detect the engine’s rotor-to station rub-impact fault under strong vibration environment, can greatly shorten the detection time，reduce the missing rate，and improve the detection accuracy.