Research on ELM-based aircraft engine sensor fault diagnosis method
Le Wang · Transducer and Microsystem Technologies · 2015
In order to realize aircraft engine sensor fault monitoring and diagnosis more better on embedded ARM11 platform,using extreme learning machine( ELM) instead of BP network algorithm,only need to select node numbers and activation function of hidden layer,greatly reduce large numbers of parameters,slow training process and continuously adjust network parameters and easy to fall into local optimal solution of BP algorithm.Through simulation comparison of two algorithms,verify the superiority of ELM algorithm. The ELM algorithm is then converted into aircraft engine sensor fault diagnosis training and learning software and diagnosis software using C + + programming language,the final test show that test precision of the algorithm software is good,and meet requirement of diagnosis.