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A novel method for induction motors stator inter-turn short circuit fault diagnosis based on wavelet energy and neural network

机译:基于小波能量和神经网络的进一步电动机定子匝间短路故障诊断的新型方法

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This paper presents a wavelet neural network technique for the inter turn short-circuit fault detection and location of the induction machine at non stationary state. This technique is used in order to remedy the problem from using the classical signal-processing (FFT). This method is based from using the discrete wavelet energy (DWE) as the input for the neural network (NN). The fault detection and location are achieved by a feed-forward multilayer-perceptron neural network trained by back propagation. Simulation results are presented to illustrate the effectiveness of the proposed method.
机译:本文介绍了一个小波神经网络技术,用于跨越短路故障检测和非静止状态的感应机的位置。使用该技术来弥补使用经典信号处理(FFT)的问题。该方法基于使用离散小波能量(DWE)作为神经网络(NN)的输入。故障检测和位置是通过后传播训练的前馈多层-Cerceptron神经网络实现的。提出了仿真结果以说明所提出的方法的有效性。

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