2 options
Use of SCADA data for failure detection in wind turbines / K. Kim [and others].
Connect to full text Available online
View online- Format:
- Book
- Government document
- Series:
- Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5000-51653.
- Conference paper NREL/CP ; 5000-51653
- Language:
- English
- Subjects (All):
- Wind turbines--Monitoring.
- Wind turbines.
- Supervisory control systems.
- Genre:
- technical reports.
- Technical reports
- Technical reports.
- Physical Description:
- 1 online resource (11 pages) : color illustrations.
- Other Title:
- Supervisory Control and Data Acquisition (SCADA)
- Place of Publication:
- Golden, CO : National Renewable Energy Laboratory, 2011.
- Summary:
- High operations and maintenance costs for wind turbines reduce their overall cost effectiveness. One of the biggest drivers of maintenance cost is unscheduled maintenance due to unexpected failures. Continuous monitoring of wind turbine health using automated failure detection algorithms can improve turbine reliability and reduce maintenance costs by detecting failures before they reach a catastrophic stage and by eliminating unnecessary scheduled maintenance. A SCADA-data based condition monitoring system uses data already collected at the wind turbine controller. It is a cost-effective way to monitor wind turbines for early warning of failures and performance issues. In this paper, we describe our exploration of existing wind turbine SCADA data for development of fault detection and diagnostic techniques for wind turbines. We used a number of measurements to develop anomaly detection algorithms and investigated classification techniques using clustering algorithms and principal components analysis for capturing fault signatures. Anomalous signatures due to a reported gearbox failure are identified from a set of original measurements including rotor speeds and produced power.
- Notes:
- Title from title screen (viewed on Dec. 16, 2011).
- "October 2011."
- "Presented at the 2011 Energy Sustainability Conference and Fuel Cell Conference, Washington, D.C., August 7-10, 2011."
- Includes bibliographical references (pages 8-9).
- "Contract no. DE-AC36-08GO28308."
- OCLC:
- 768493774
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.