Vibration Monitoring and Pitching Action Identification of Wind Power Pitching Reducer
Because the pitch reducer moves circularly with the hub and rotates intermittently,it is difficult to identify the effective vibration data of pitch reducer.In this paper,a pitch motion identification method combin-ing particle swarm optimization variational mode decomposition(PSO-VMD)and moving median filtering(MMF)is proposed.Firstly,the vibration signal of the pitch reducer in the field is analyzed and divided into four parts:static unpitch,static pitch,dynamic pitch and dynamic unpitch.In view of the low-frequency compo-nents in the signal,the PSO-VMD is used to decompose the signal to eliminate the sinusoidal component and trend component caused by the rotation of the reducer with the hub.The envelope signal-based pitch action rec-ognition idea is proposed,and the MMF is used for smoothing the envelope signal to eliminate the impulse inter-ference generated by structural excitation.Finally,the static unpitch data and the 3σ criterion are used to calcu-late the threshold value,and the smoothed envelope signal curve is compared with the threshold value to achieve the pitching action.The field application shows that this method can accurately identify the pitch action,and has obvious advantages compared with other methods,providing a reference for wind turbine pitch vibration identifi-cation and condition monitoring.
signal acquisitionpitch reducerintermittent motionparticle swarm optimizationvariational mode decompositionpitch recognition
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