A Data Augmentation Boosted Dual Informer Framework for the Performance Degradation Prediction of Aero-Engines-Reference-Cited by-同舟云学术

A Data Augmentation Boosted Dual Informer Framework for the Performance Degradation Prediction of Aero-Engines

Author:

Zhang Zhiyao¹^ORCID,Chen Pengpeng²,Xing Chenguang²,Liu Bo²,Wang Ruo²,Li Longxiao³,Chen Xiaohui¹,Zio Enrico⁴^ORCID

Affiliation:

1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China

2. Chinese Aeronautical Establishment, Beijing, China

3. School of Business and Administration, Chongqing University of Science and Technology, Chongqing, China

4. Energy Department, Politecnico di Milano, Milan, Italy

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Key Projects of National Natural Science Foundation of China

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference42 articles.

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