Karhunen Loeve basis used for Detection of Gearbox Faults in a Wind Turbine

详细信息    查看全文

• 作者：Peter Fogh Odgaard^* ; ^{pfo@es.aau.dk" class="auth_mail" title="E-mail the corresponding author} ; Jakob Stoustrup^**
• 关键词：Wind turbine ; Fault Detection ; Karhunen-Loeve basis
• 刊名：IFAC-PapersOnLine
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：47
• 期：3
• 页码：8891-8896
• 全文大小：680 K

文摘

Reliability and sustainability of wind turbines increase in importance as wind turbines contribute with increasing power generation to the world's power grids. One possible way to achieve this is by using advanced fault detection and isolation methods in wind turbines based on the measurements provided to the control system. In this paper a Karhunen-Loeve basis approach is designed for detecting changes in frequency response from rotating parts like a gearbox. The potential of this method is shown by applying it to an established Wind Turbine FDI and FTC Benchmark model. These faults are industrial wind turbines detected using auxiliary condition monitoring systems, which uses their own sensors etc. Usage of the existing control system including sensors will thereby provide a potential cost reduction of the wind turbine.