Abstract: A method of collecting event data in a wind park installation including a plurality of wind turbines is provided. Each wind turbine includes a satellite-based clock. In each wind turbine, a first time signal is distributed from the satellite-based clock to at least one node in the wind turbine. In the at least one node, events happening in at least one subsystem connected to the node are detected. When an event is detected, event data including an information about the event is collected. For each piece of collected event data, a timestamp is added to the piece of collected event data characterizing a corresponding instant of time when the event was detected. The timestamped event data is stored for later inspection.

Abstract: A method of collecting event data in a wind park installation including a plurality of wind turbines is provided. Each wind turbine includes a satellite-based clock. In each wind turbine, a first time signal is distributed from the satellite-based clock to at least one node in the wind turbine. In the at least one node, events happening in at least one subsystem connected to the node are detected. When an event is detected, event data including an information about the event is collected. For each piece of collected event data, a timestamp is added to the piece of collected event data characterising a corresponding instant of time when the event was detected. The timestamped event data is stored for later inspection.

Abstract: A method for estimating an achievable power production of a wind turbine, which is operated with a reduced power set point is provided. The method includes determining the values of at least two parameters, inputting the values of the at least two parameters into a neural network, and outputting an output value from the neural network. The at least two parameters are indicative of an operating condition of the wind turbine. Thereby, the output value is an estimate of the achievable power production of the wind turbine. A control system which is adapted to carry out the described power estimation method is also provided. Furthermore, a wind turbine which uses the control system adapted to carry out the described power estimation method is provided.

Abstract: A method for estimating an achievable power production of a wind turbine, which is operated with a reduced power set point is provided. The method includes determining the values of at least two parameters, inputting the values of the at least two parameters into a neural network, and outputting an output value from the neural network. The at least two parameters are indicative of an operating condition of the wind turbine. Thereby, the output value is an estimate of the achievable power production of the wind turbine. A control system which is adapted to carry out the described power estimation method is also provided. Furthermore, a wind turbine which uses the control system adapted to carry out the described power estimation method is provided.