公开(公告)号：US11022524B2

公开(公告)日：2021-06-01

申请号：US16967313

申请日：2019-11-28

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yanhua Ma ,  Xian Du ,  Ximing Sun ,  Yuhu Wu ,  Yanlei Gao

IPC: G01M15/05 ,  G06N3/04 ,  B64F5/60 ,  G05B23/02

Abstract: A stochastic configuration network based turbofan engine health parameter estimation method is disclosed. The stochastic configuration network based turbofan engine health parameter estimation method designed by the present invention combines the model based Kalman filter algorithm and the data-driven based stochastic configuration network, i.e. using the output of the stochastic configuration network as the compensation of the Kalman filter algorithm, so as to take into account the estimated result of the Kalman filter and the estimated result of the stochastic configuration network and improve the estimation accuracy of the original Kalman filter algorithm when the measurable parameters of the turbofan engine are less than the health parameters to be estimated. In addition, the present invention effectively reduces the accuracy loss caused by the poor structure of the neural network through the stochastic configuration network, and improves the generalization ability of the network.