Key Lab of Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
Abstract：In order to test the generator incipient faults, such as stator windings inter-turn and broken rotor bars, which have such characteristics with small amplitude, non-stationary and susceptible to load variations, a sample entropy algorithm is introduced to perform fault feature extraction from the stator current and electromagnetic torque signals of generators in wind turbines. The proposed method is used to analyze fault signals under different load conditions to realize the quantitative representation of faulty signals. The results demonstrate that sample entropy algorithm is applicable to achieve fault characteristics quantification with data of short length, especially under varying operations and noise environments and it has great potentials in early fault detection and real-time online monitoring.
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2017, Vol. 38 
