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Title: Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities

Abstract

Prognostics and health management is not a new concept. It has been used in relatively mature industries, such as aviation and electronics, to help improve operation and maintenance (O&M) practices. In the wind industry, prognostics and health management is relatively new. The level for both wind industry applications and research and development (R&D) has increased in recent years because of its potential for reducing O&M cost of wind power, especially for turbines installed offshore. The majority of wind industry application efforts has been focused on diagnosis based on various sensing and feature extraction techniques. For R&D, activities are being conducted in almost all areas of a typical prognostics and health management framework (i.e., sensing, data collection, feature extraction, diagnosis, prognosis, and maintenance scheduling). This presentation provides an overview of the current status of wind turbine prognostics and health management that focuses on drivetrain condition monitoring through vibration, oil debris, and oil condition analysis techniques. It also discusses turbine component health diagnosis through data mining and modeling based on supervisory control and data acquisition system data. Finally, it provides a brief survey of R&D activities for wind turbine prognostics and health management, along with future opportunities.

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:
1241094
Report Number(s):
NREL/PR-5000-65605
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the Probabilistic Prognostics and Health Management of Energy Systems Workshop, 14-15 December 2015, Ilha Solteira, Brazil
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; prognostics; health management; wind turbine; research and development (R&D); NREL

Citation Formats

Sheng, Shuangwen. Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities. United States: N. p., 2015. Web. doi:10.1007/978-3-319-55852-3_3.
Sheng, Shuangwen. Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities. United States. https://doi.org/10.1007/978-3-319-55852-3_3
Sheng, Shuangwen. Mon . "Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities". United States. https://doi.org/10.1007/978-3-319-55852-3_3. https://www.osti.gov/servlets/purl/1241094.
@article{osti_1241094,
title = {Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities},
author = {Sheng, Shuangwen},
abstractNote = {Prognostics and health management is not a new concept. It has been used in relatively mature industries, such as aviation and electronics, to help improve operation and maintenance (O&M) practices. In the wind industry, prognostics and health management is relatively new. The level for both wind industry applications and research and development (R&D) has increased in recent years because of its potential for reducing O&M cost of wind power, especially for turbines installed offshore. The majority of wind industry application efforts has been focused on diagnosis based on various sensing and feature extraction techniques. For R&D, activities are being conducted in almost all areas of a typical prognostics and health management framework (i.e., sensing, data collection, feature extraction, diagnosis, prognosis, and maintenance scheduling). This presentation provides an overview of the current status of wind turbine prognostics and health management that focuses on drivetrain condition monitoring through vibration, oil debris, and oil condition analysis techniques. It also discusses turbine component health diagnosis through data mining and modeling based on supervisory control and data acquisition system data. Finally, it provides a brief survey of R&D activities for wind turbine prognostics and health management, along with future opportunities.},
doi = {10.1007/978-3-319-55852-3_3},
url = {https://www.osti.gov/biblio/1241094}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {12}
}

Conference:
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