A Novel Method and Its Field Tests for Monitoring and Diagnosing Blade Health for Wind Turbines

作者:Oh Ki Yong*; Park Joon Young; Lee Jun Shin; Epureanu Bogdan I; Lee Jae Kyung
来源:IEEE Transactions on Instrumentation and Measurement, 2015, 64(6): 1726-1733.
DOI:10.1109/TIM.2014.2381791

摘要

A new diagnostic method is proposed to efficiently monitor the structural health and detect damages in wind turbine blades. A high-resolution real-time blade condition monitoring system that considers the harsh turbine operating environment and uses optical sensors and a wireless network is presented. A hybrid algorithm, which merges probabilistic analysis, design loads, and real-time load estimates, is introduced to enhance operational safety and reliability. Moreover, the alarm limits are updated every 10 min through a learning algorithm to further improve reliability. The proposed algorithm was implemented in a blade monitoring system. The effectiveness of the proposed algorithm was demonstrated for a 3-MW wind turbine in the Yeongheung wind farm.

  • 出版日期2015-6