Efficient load and power monitoring by stochastic methods
Monitoring of performance and loads of wind energy systems supports reliable and efficient operation. This is emphasized by the typically harsh and non-stationary operating conditions especially at offshore but also onshore sites. These external conditions also form substantial challenges to both the sensor equipment and the data analysis methods. Due to strong fluctuations and site specific situations, currently such monitoring is dependent on long term data. Here we present results obtained by stochastic methods which reliably extract the deterministic machine characteristics even under strongly fluctuating and non-stationary conditions. Moreover, we achieve an efficient load monitoring from standard operational data, without the need for additional measurement hardware.