ART-2 artificial neural networks applications for classification of vibration signals and operational states of wind turbines for intelligent monitoring

Abstract

In recent years wind energy is the fastest growing branch of the power generation industry. The largest cost for the wind turbine is its maintenance. A common technique to decrease this cost is a remote monitoring based on vibration analysis. Growing number of monitored turbines requires an automated way of support for diagnostic experts. As full fault detection and identification is still a very challenging task, it is necessary to prepare an ‘‘early warning’’ tool, which would focus the attention on cases which are potentially dangerous.