A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model-Reference-Cited by-同舟云学术

A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model

Published:2023-11 Issue: Volume:126 Page:106974
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Fengyuan^ORCID,Liu Jie^ORCID,Li Yuxin,Liu Yujie,Ge Ming-Feng^ORCID,Jiang Xingxing^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference36 articles.

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