Description |
1 online resource (10 p.) : digital, PDF file |
Series |
NREL/CP ; 500-46160 |
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Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-500-46160.
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Note |
Title from title screen (viewed August 16, 2010). |
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"August 2010." |
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"Presented at the 7th International Workshop on Structural Health Monitoring 2009, Stanford, California, September 9-11, 2009." |
Summary |
The wind industry has experienced premature turbine component failures during the past years. With the increase in turbine size, these failures, especially those found in the major drivetrain components, i.e. main shaft, gearbox, and generator, have become extremely costly. Given that the gearbox is the most costly component in the drivetrain to fix, the National Renewable Energy Laboratory (NREL) initiated the Gearbox Reliability Collaborative (GRC) to determine the causes for premature gearbox failures and subsequently, recommend improvements to gearbox design, manufacture, and operational practices. The GRC has two identical test gearboxes, which are planned for a dynamometer and a field test, respectively. Condition Monitoring (CM) is one research area under the GRC. Its near-term goal is to establish some baseline responses for CM systems based on the dynamometer and field tests. Its long-term goals are to correlate the CM outputs with the turbine operational conditions (e.g., rpm, power, etc.) and/or dynamic measurements (e.g., strain, displacement, etc.) of drivetrain components, identify possible causes for abnormal CM readings and/or component failures, and subsequently, recommend strategies for improvement. The GRC CM will be implemented by integrating stress wave, vibration, and lubricant monitoring techniques. |
Subject |
Wind turbines -- Testing.
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Gearing -- Research.
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Added Author |
Oyague, Francisco.
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Butterfield, C. P. (Charles P.)
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National Renewable Energy Laboratory (U.S.)
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International Workshop on Structural Health Monitoring.
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Other Form: |
Paper version: Sheng, Shuangwen. Investigation of various wind turbine drive train condition monitoring techniques. 10 p. (OCoLC)664351422 |
Gpo Item No. |
0430-P-04 (online) |
Sudoc No. |
E 9.17:NREL/CP-500-46160 |
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