Aircraft Engine Health Assessment Based On Multi Condition Automatic Identification

With the fast and steady expansion of China's civil aviation fleet,Civil aviation security issues become increasingly important.The performance of the health assessment of aircraft engine is of vital importance to the safety of flights.But the aircraft engine condition is complex,and often too difficult to be evaluated accurately.This paper presents a health evaluation method based on automatic clustering of of the aircraft engine conditions.Firstly,from a large number of sensor data,the sensor variables closely related to the engine performance deterioration trend are selected for analysis and feature extract io.Secondly,the Logistic model is defined to evaluate the aircraft engine health condition.Finally,the method for evaluating the performance of the engine health status is validated on the aircraft engine sensor data through a NASA verification procedure.It can not only evaluate the the performance of the health status,but also on the engine fault prediction and fault elimination.The accurate prediction of the remaining useful life of the engine has important value to improve the safety and reliability of aircraft engine.