Fault status identification is an important project in the operation monitoring of offshore wind turbines.For large-capacity offshore wind turbines,it is difficult to identify the fault status,and the current method is difficult to accurately identify the fault status.Wireless sensors are used to perceive wind speed,power grid,engine room temperature and gearbox oil temperature during the operation of wind turbines,and wavelet packet decomposition algorithm is adopted to decompose the unit operation data and decompose the signals into independent frequency bands,so as to realize the fault status identification of large-capacity offshore wind turbines.Experiments show that the F1 Score of the design method is above 0.95,and the ROC curve is closer to the upper left,which can realize the accurate identification of the operating fault state of large-capacity offshore wind turbines.
large capacitywind turbinefault status identificationwavelet packet decomposition algorithmprincipal component analysis
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