Filtering method of coupled components in wind turbine signals

Abstract

To study whether the coupled components in vibration signals affect the accuracy of judging the wind turbine running state, an adaptive filter was used to filter the coupled components, with different filters performing differently. The vibration signal subjected to a stationary random process was taken as the object of research. The probability distribution that the non-coupled part of the simulated signals obey was determined by the collected mechanical vibration signals. The frequencies of coupled components in the simulated signals were determined by a one-and-a-half-dimensional spectrum of their corresponding wind turbine vibration signals. The simulated signal, including both non-coupled and coupled components, was input to the adaptive filter to train it, and afterwards the adaptive filter was used to filter the coupled components in vibration signals. The experimental results show that this method may be more effective in judging the mechanical operation states,the correct rate of fault diagnosis has been improved by more than 10%. This method can help improve the power generation efficiency of wind turbines.