Abstract: Methods of registering events in a wind power system comprising at least two data processors. The data processors of said wind power system are mutually time synchronized. Events are registered in said at least two data processors. The timing of said events registered in different of said at least two data processors is established according to said time synchronization. Events may be registered and preferably analyzed according to a common timing. The event analysis makes it possible to establish an analysis where events of different wind turbines are basically interrelated and where information regarding such interrelation may be important or crucial for establishment of control or fault detection based on correctly timed events from different wind turbines.

Abstract: The invention relates to a wind turbine (1) comprising a network arranged for communicating with an external network (11), said network of the wind turbine comprising a first sub-network (20) and a second sub-network (30), where the first sub-network (20) is connectable to the external network (11) and where the second sub-network (30) is connectable to and disconnectable from the first network (20). Thus, two or more independent networks are created within a single wind turbine to allow communication among the different controllers in the wind turbine along with external communication. The second sub-network is disconnectable from the remaining network, while the first sub-network may have permanent remote connection. This network architecture provides for enhanced flexibility, enhanced security and enhanced functionality.

Abstract: Methods of registering events in a wind power system comprising at least two data processors. The data processors of said wind power system are mutually time synchronized. Events are registered in said at least two data processors. The timing of said events registered in different of said at least two data processors is established according to said time synchronization. Events may be registered and preferably analyzed according to a common timing. The event analysis makes it possible to establish an analysis where events of different wind turbines are basically interrelated and where information regarding such interrelation may be important or crucial for establishment of control or fault detection based on correctly timed events from different wind turbines.

Abstract: The invention relates to a method of registering events in a wind power system comprising at least two data processors, wherein the data processors of said wind power system are mutually time synchronized, wherein events are registered in said at least two data processors, wherein the timing of said events registered in different of said at least two data processors is established according to said time synchronization. According to an advantageous embodiment of the invention, events may be registered and preferably analyzed according to a common timing. This analyzing makes it possible to establish an analysis where events of different wind turbines are basically interrelated and where information regarding such interrelation is important or crucial for establishment of control or fault detection based on correctly timed events from different wind turbines.

Abstract: The invention relates to a method of registering events in a wind power system comprising at least two data processors, wherein the data processors of said wind power system are mutually time synchronized, wherein events are registered in said at least two data processors, wherein the timing of said events registered in different of said at least two data processors is established according to said time synchronization. According to an advantageous embodiment of the invention, events may be registered and preferably analyzed according to a common timing. This analyzing makes it possible to establish an analysis where events of different wind turbines are basically interrelated and where information regarding such interrelation is important or crucial for establishment of control or fault detection based on correctly timed events from different wind turbines.