A method for performing condition monitoring on a plurality of wind turbines arranged in a wind farm is disclosed. The method comprises the steps of: for each wind turbine obtaining at least one vibration signal each vibration signal representing vibrations of one or more monitored components of the wind turbine e.g. moving gear parts or bearings; generating a plurality of faulty frequency indexes each faulty frequency index corresponding to a monitored component each faulty frequency index being generated on the basis of one or more of the obtained vibration signals and each faulty frequency index being generated in such a manner that variations in the vibration signals introduced by variations in rotational speed of one or more rotating shafts of the wind turbine are filtered out; comparing faulty frequency indexes originating from different wind turbines of the wind farm; and based on the comparing step evaluating the condition of each of the monitored components of the plurality of wind turbines. The method allows vibration levels of components to be easily compared on wind farm level and faulty or failing components are easily and reliably detected.
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