Aircraft Engine Gas Path Fault Diagnosis Based on Neural Network
The performance degeneration of components not only reduces the economy of aircraft engine, but also serious threat to the flight safety. Neural network with learning and reasoning abilities is widely used in fault diagnosis. In this paper, a neural network is established with improved BP method. 9 measured parameters of an aircraft engine are selected as features parameters. 21 kinds of gas path failure modes are coded with 5 bits. The data preprocessing methods and the effect of measurement noise are also discussed.
Neural network aircraft engine gas path fault diagnosis
Changzheng Li Yong Lei
School of Power and Energy, Northwestern Polytechnical University, Xian, Shaanxi, China
国际会议
大连
英文
144-148
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）