Editorial: Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-Driven Methods

被引：0

作者：

Wang, Jun ^{[1
]}

Zhong, Xianping ^{[2
]}

Zhao, Xingang ^{[3
]}

Yurko, Joseph P. ^{[2
]}

Revankar, Shripad T. ^{[4
]}

机构：

[1] Univ Wisconsin Madison, Madison, WI USA

[2] Univ Pittsburgh, Pittsburgh, PA 15260 USA

[3] Oak Ridge Natl Lab, DOE, Oak Ridge, TN USA

[4] Purdue Univ, W Lafayette, IN 47907 USA

来源：

关键词：

advanced sensor; fault diagnosis; data-driven approach; condition monitoring; prognostics;

D O I：

10.3389/fenrg.2021.719245

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

引用

页数：2

共 4 条

[1]

Al Rashdan A.Y., 2018, AUTOMATION DATA COLL, DOI [10.2172/1475451, DOI 10.2172/1475451]

Kwon, Soonjo ;

Kim, Bongcheol ;

An, Kyungik ;

Ryu, Dongsoo ;

Mun, Duhwan ;

Han, Soonhung .

[3]

Liu BY, 2019, INT C ELECTR MACH SY, P224, DOI 10.1109/icems.2019.8921965

[4]

Patel H. R., 2018, PDPU Journal of Energy and Management, V2, P31