Online condition assessment of wind turbine based on integrated fuzzy theory and evidence theory

For the purpose of optimizing the maintenance strategy, the wind turbine real-time condition needs to be assessed accurately. Based on SCADA system data, this paper put forward the wind turbine running condition assessment model integrating the Fuzzy Theory with Evidential Theory. Firstly, the index system of wind turbines running condition assessment was constructed in this paper. The active curve of temperature indicators was obtained under bin method, and then the indicators were quantified under degradation degree concept; Secondly, the wind turbine running condition assessment model integrating the fuzzy theory with evidential theory was proposed as a resolution to the fuzzy uncertainty of wind turbines condition assessment indicators. In this model, concept of fuzzy sets and membership functions of the fuzzy theory were imported into the evidence theory to build reasonable belief function assignment. Finally, the proposed assessment model and method were proved to be correct and effective by the practical operational results based on the actual monitoring data of a 1.5MW WTGS within a certain period of time.