Condition Parameter Modeling for Anomaly Detection in Wind Turbines

Condition Parameter Modeling for Anomaly Detection in Wind Turbines

Data collected from the supervisory control and data acquisition (SCADA) system, used widely in wind farms to obtain operational and condition information about wind turbines (WTs), is of important significance for anomaly detection in wind turbines. The paper presents a novel model for wind turbine anomaly detection mainly based on SCADA data and a back-propagation neural network (BPNN) for au...

Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines

Developing RCM strategy for wind turbines utilizing e-condition monitoring

Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliab...

Quantification of Condition Monitoring Benefit for Offshore Wind Turbines

Condition monitoring (CM) systems are increasingly installed in wind turbines with the goal of providing component-specific information to wind farm operators, theoretically increasing equipment availability via maintenance and operating actions based on this information. In the offshore case, economic benefits of CM systems are often assumed to be substantial, as compared with experience of on...

Frequency Based Fault Detection in Wind Turbines

In order to obtain lower cost of energy for wind turbines fault detection and accommodation is important. Expensive condition monitoring systems are often used to monitor the condition of rotating and vibrating system parts. One example is the gearbox in a wind turbine. This system is operated in parallel to the control system, using different computers and additional often expensive sensors. I...