Optimal shaft speed extraction and its application in wind turbine condition monitoring
CAI Zekai1， YU Lichao1， WU Taihuan1， LUO Huageng1， ZHANG Fanghong2， ZHANG Ning3， ZHOU Qingmei3
1.School of Aerospace Engineering, Xiamen University, Xiamen 361104, China;
2.National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing 401331,China;
3.CSIC Haizhuang Wind Power Company Limited, Chongqing 401122, China
Abstract：In wind turbine condition monitoring, application of synchronous resampling and synchronous analysis techniques can greatly alleviate the spectral energy dispersion phenomenon caused by the variable speed operations so that it is easier to realize damage feature extraction. However, the existing wind turbine condition monitoring system is usually not equipped with the speed sensor, therefore, extracting the shaft instantaneous phase from the measured vibration responses is the key to realize synchronous resampling and synchronous analysis techniques. The existing speed extraction methods with phase demodulation are often difficult to obtain accurate phase information due to the problem of bandwidth selection and other restrictions. In this paper, an optimal shaft speed extraction (OSSE) based on the combination of one-step cost function (OSCF), optimal bandwidth searching and Hilbert phase demodulation to extract the shaft instantaneous speed of wind turbine. The simulation results show that the proposed method can obtain accurate phase information. Using this phase signal to synchronously resampling the vibration signal and carry out the spectrum analysis, a clearer order spectrum can be obtained. Finally, the vibration data from a real wind turbine operation are used to verify the proposed method. The analysis results derive the similar conclusions as those from simulations. The effectiveness and accuracy of the proposed method are demonstrated.
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