Aiming at problems of traditional gradient-based learning algorithm used for aircraft engine sensor fault diagnosis always have currently

such as difficulties with multi-parameter selection

easy to fall into local minimum

over-fitting

and so on

propose fault diagnosis method for aircraft engine sensor based on extreme learning machine（ELM）.ELM algorithm can avoid above problems

and further reduce fault diagnostic time and improve diagnostic precision

since it only need to set a parameter

i.e.the number of hidden layer.Simulation test shows that aircraft engine sensor fault diagnosis model based on ELM algorithm has higher precision and shorter time than that based on BP neural network algorithm.