DIN EN 61400-25-6:2011-10

The IEC 61400-25 standard series defines information models and information exchange models for monitoring and control of wind power plants. The modelling approach (for information models and information exchange models) of IEC 61400-25-2 and IEC 61400-25-3 uses abstract definitions of classes and services such that the specifications are independent of specific communication protocol stacks, implementations, and operating systems. The mapping of these abstract definitions to specific communication profiles is defined in IEC 61400-25-4. Conformance to IEC 61400-25-6 requires in principle conformance to IEC 61400 -25-2, IEC 61400-25-3 and IEC 61400-25-4. The definitions in parts IEC 61400-25-1 to IEC 61400-25-5 apply also for this part 6 of the standard series. The purpose of this part of IEC 61400 is to define an information model for condition monitoring information and to define how to use the existing definitions of part IEC 61400-25-2 and to define the required extensions in order to describe and exchange information related to condition monitoring of wind turbines. The models of condition monitoring information defined in this standard may represent information provided by sensors or by calculation. In the context of this standard, condition monitoring means a process with the purpose of observing components or structures of a wind turbine or wind power plant for a period of time in order to evaluate the state of the components or structures and any changes to it, in order to detect early indications of impending failures. With the objective to be able to monitor components and structures in approximately the same conditions, this standard introduces a concept of sorting production or power levels of a wind turbine into power bins. The power bins concept is multidimensional in order to fit the purpose of sorting complex operational conditions into comparable circumstances. Condition monitoring is most frequently used as a Predictive or Condition-Based Maintenance technique (CBM). However, there are other predictive maintenance techniques that can also be used, including the use of the human senses (look, listen, feel, smell) or machine performance monitoring techniques. These could be considered to be part of the condition monitoring.