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Title:
TRANSFER-LEARNING-BASED LIFE PREDICTION AND HEALTH ASSESSMENT METHOD FOR AERO-ENGINE
Document Type and Number:
WIPO Patent Application WO/2023/231995
Kind Code:
A1
Abstract:
The present invention relates to a transfer-learning-based life prediction and health assessment method for an aero-engine. The method comprises the steps of: data collection and data storage; data pre-processing; and health factor construction. The beneficial effects of the present invention involve: in the present invention, firstly, a construction process of a health state division factor is proposed; secondly, key performance parameters are extracted by using an extreme gradient boosting regression model, which is less affected by an extreme deviation value and has higher generalization, and dimension reduction is performed on data; useful features which are associated with the service life and the health state are then mined by using an automatic feature extraction capability of a gated recurrent unit network for multi-dimensional time sequence data, so as to realize residual service life prediction and health assessment; and finally, the model is generalized under different flight states by using a transfer learning strategy, so as to realize multi-working-condition model transfer; and the present invention efficiently utilizes historical operation data resources within the whole life cycle of an aero-engine, so as to provide a reliable basis for life prediction and health assessment of the aero-engine.

Inventors:
WAN ANPING (CN)
YANG JIE (CN)
SHAN TIANMIN (CN)
WANG JINGLIN (CN)
YUAN JIANTAO (CN)
YIN RUI (CN)
JI XIAOSHENG (CN)
WANG WENHUI (CN)
Application Number:
PCT/CN2023/096973
Publication Date:
December 07, 2023
Filing Date:
May 30, 2023
Export Citation:
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Assignee:
HANGZHOU CITY UNIV (CN)
International Classes:
G06F30/27; G06F17/18; G06F18/214; G06F18/241; G06F18/2431; G06F30/17; G06F113/08; G06F119/04; G06F119/14; G06N3/0442; G06N3/096
Foreign References:
CN114997051A2022-09-02
CN113869563A2021-12-31
CN112100767A2020-12-18
CN114297910A2022-04-08
Attorney, Agent or Firm:
BEIJING GAOWO LAW FIRM (CN)
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