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Fault diagnosis of relay protection device based on fuzzy Bp neutral network model

机译:基于模糊BP神经网络模型的继电保护装置故障诊断

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摘要

Given the actual relay protection device fault diagnosis of subjective factors influence, the real-time diagnosis of crystal relay protector circuit applying the method of combining BP neural network and fuzzy theory has been implemented. which carry out fault diagnosis of the relay protection device accurately, Experimental results show that the precision of this algorithm in recognition fault types is greatly improved compared with the traditional methods.
机译:鉴于实际继电保护装置故障诊断受主观因素影响,采用BP神经网络与模糊理论相结合的方法,实现了对继电保护电路的实时诊断。实验结果表明,与传统方法相比,该算法在识别继电保护装置故障类型方面的精度大大提高。

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