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Application of Ensemble Empirical Mode Decomposition on Stator Inter-turn Short-Circuit Fault in Doubly Fed Induction Generators

机译:集成经验模态分解在双馈感应发电机定子匝间短路故障中的应用

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The stator winding inter-turn short-circuit fault is one of the common faults of doubly fed induction generator (DFIG). In this paper, the multi-loop theory is used for the mathematical modeling, while different faults under different conditions are simulated by MATLAB. Due to the drawbacks in the EMD decomposition method, the results of decomposition cannot distinguish the inter-turn short-circuit fault from some non-fault conditions, while, by introducing the EEMD decomposition method, the problem can be solved. Using the new method, the voltage imbalance, variable rotor speed, and other factors on the interference in the process of inter-turn short-circuit fault diagnosis can be ruled out; therefore, the result of the current spectrum analysis is more reliable. EEMD method can provide a more reliable guarantee for stator inter-turn short-circuit fault detection.
机译:定子绕组匝间短路故障是双馈感应发电机(DFIG)的常见故障之一。本文采用多回路理论进行数学建模,并利用MATLAB对不同条件下的不同故障进行了仿真。由于EMD分解方法的缺点,分解结果不能将匝间短路故障与某些非故障条件区分开,而通过引入EEMD分解方法可以解决该问题。采用这种新方法,可以排除电压不平衡,转子转速可变等影响匝间短路故障诊断过程中干扰的因素。因此,当前频谱分析的结果更加可靠。 EEMD方法可以为定子匝间短路故障检测提供更可靠的保证。

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