Study on Engine’s Rub-impact Failure 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 engines rubimpact failure detection under the strong vibration environments.Under the strong vibration environment,when engine goes to stationary state,the engines rub-impact failure is easy to happen,and they are often happened simultaneously.However,there is no correlation between the vibration signal failures.Traditional failure mining methods in the engines rub-impact failure detection process,it only can detect this failure the vibration signal,so that failure detection is not accurate.In order to solve this problem,the paper proposed an engines rub-impact failure detection method based on improved association rule mining.The associated clustering process are made with the data of engines rub-impact failure,to obtain the classification matrix of sample space and update the data of engines rub-impact failure.According to updated results,the association probability values of the data of engines rub-impact failure were calculated to obtain probabilistic decision.The association rules mining was made with data of aircrafts rub-impact failure,so as to realize the optimized detection for the data of engines rub-impact failure.The experiment results show that using the improved association rules algorithmto detect the engines rotor-to station rub-impact failure under strong vibration environment,can greatly shorten the detection time,reduce the missing rate,and improve the detection accuracy.
Association rules Failure detection Flight Data
WANG Qiang LIXin Yi SHI Hong
College of Equipment Management& Safety Engineering,Air Force Engineering University,Xian 710051,China
国际会议
重庆
英文
709-713
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）