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Title: Real-time monitoring, prognosis, and resilient control for wind turbine systems

Abstract

This special issue aims to provide a platform for academic and industrial communities to report recent results and emerging research in real-time monitoring, fault diagnosis, prognosis, and resilient control and design of wind turbine systems. After a strict peer-review process, 20 papers were selected, which represent the most recent progress of the real-time monitoring, diagnosis, prognosis, and resilient control methods/techniques in wind turbine systems.

Authors:
;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1417288
Report Number(s):
NREL/JA-5000-70021
Journal ID: ISSN 0960-1481
DOE Contract Number:
AC36-08GO28308
Resource Type:
Journal Article
Resource Relation:
Journal Name: Renewable Energy; Journal Volume: 116; Journal Issue: PB
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 42 ENGINEERING; wind turbine; wind energy; monitoring; prognosis; resilient control; analysis; fault detection

Citation Formats

Gao, Zhiwei, and Sheng, Shuangwen. Real-time monitoring, prognosis, and resilient control for wind turbine systems. United States: N. p., 2018. Web. doi:10.1016/j.renene.2017.10.059.
Gao, Zhiwei, & Sheng, Shuangwen. Real-time monitoring, prognosis, and resilient control for wind turbine systems. United States. doi:10.1016/j.renene.2017.10.059.
Gao, Zhiwei, and Sheng, Shuangwen. 2018. "Real-time monitoring, prognosis, and resilient control for wind turbine systems". United States. doi:10.1016/j.renene.2017.10.059.
@article{osti_1417288,
title = {Real-time monitoring, prognosis, and resilient control for wind turbine systems},
author = {Gao, Zhiwei and Sheng, Shuangwen},
abstractNote = {This special issue aims to provide a platform for academic and industrial communities to report recent results and emerging research in real-time monitoring, fault diagnosis, prognosis, and resilient control and design of wind turbine systems. After a strict peer-review process, 20 papers were selected, which represent the most recent progress of the real-time monitoring, diagnosis, prognosis, and resilient control methods/techniques in wind turbine systems.},
doi = {10.1016/j.renene.2017.10.059},
journal = {Renewable Energy},
number = PB,
volume = 116,
place = {United States},
year = 2018,
month = 2
}
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