Abstract
The global wind industry has seen tremendous growth during the past two decades. However, the industry is challenged by premature component failures, which lead to increased turbine downtime and subsequently, cost of energy for wind power. To mitigate the impacts from these failures, the wind industry has been exploring various areas for improvements ranging from product design, new materials or lubricants, to operation and maintenance (O&M) practices. Condition-based maintenance or prognostics and health management (PHM) has been explored as one enabling technology for improving O&M practices. This chapter provides a brief overview of wind turbine PHM with a focus on operational data mining and condition monitoring of drivetrains. Some future research and development opportunities in wind turbine PHM are also briefly discussed.
Original language | American English |
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Title of host publication | Probabilistic Prognostics and Health Management of Energy Systems |
Editors | S. Ekwaro-Osire, A. C. Goncalves, F. M. Alemayehu |
Pages | 33-48 |
ISBN (Electronic) | 9783319558523 |
DOIs | |
State | Published - 2017 |
NREL Publication Number
- NREL/CH-5000-66587
Keywords
- diagnostics
- operation and maintenance
- PHM
- prognostics
- wind turbine