Patent · US Active

Method for prediction of key performance parameter of an aero-engine transition state acceleration process based on space reconstruction

US11436395B2 · kind B2 · utility

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1References

1Claims

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Assignee

Dalian University of Technology · CN

Inventors

Shuo Zhang · Oettingen, DE
Xiaoyu Sun · Evansville, US
Jibang Li · 东风镇, CN
Ximing SUN · 东风镇, CN

Key dates

Filing date	Jun 27, 2018
Grant date	Sep 6, 2022
Priority date	—
Expiry date	Sep 7, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06F2218/12
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for prediction of key performance parameters of an aero-engine transition state acceleration process based on space reconstruction. Aero-engine transition state acceleration process test data provided by a research institute is used for establishing a training dataset and a testing dataset; dimension increase is conducted on the datasets based on the data space reconstruction of an auto-encoder; model parameters optimization is conducted by population optimization algorithms which is represented by particle swarm algorithm; and random forest regression algorithm performing well on high-dimensional data is used for carrying out regression on transition state performance parameters, which realizes effective real-time prediction from the perspective of engineering application.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.