A method of automatically identifying suggestions regarding how to remedy wind turbine faults is provided, including establishing and storing a plurality of fault reports, each fault report including fault symptom information including data of identified fault symptoms of a previously occurred fault and fault remedy information, the fault remedy information including data regarding how the previously occurred fault was remedied, collecting fault related data, which includes data from one or more wind turbines exposed to an occurring fault, by a data processing arrangement performing data processing, including correlation of the fault related data with data from the stored fault reports, and based on the correlation establishing one or more fault remedy suggestions including suggestions regarding how to remedy the occurring fault related to the wind turbines based on the data processing. The invention also relates to a system for automatically identifying suggestions regarding how to remedy wind turbine faults.