Stochastic configuration network based turbofan engine health parameter estimation method
US11022524B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 28, 2019 |
| Grant date | Jun 1, 2021 |
| Priority date | — |
| Expiry date | Nov 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/45071
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.