首页|基于径向基函数神经网络算法的汽轮发电机转子绕组匝间短路故障诊断

基于径向基函数神经网络算法的汽轮发电机转子绕组匝间短路故障诊断

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转子绕组匝间短路是汽轮发电机的主要故障之一,对该故障的既有诊断方法仍有不足.在分析径向基函数神经网络基础上,提出一种基于该神经网络的汽轮发电机转子绕组匝间短路故障诊断方法.详细介绍了该方法的故障诊断流程,并对其进行了仿真验证.研究表明,该方法精度高且收敛速度快,可有效诊断汽轮发电机转子绕组匝间短路故障.
Fault Diagnosis of Inter-turn Short Circuit in Turbogenerator Rotor Winding Based on Radial Basis Function Neural Network Algorithm
The inter-turn short circuit of rotor winding is one of the main faults in turbogenerators,and there are still shortcomings in existing diagnostic methods for this fault.Based on the analysis of radial basis function neural networks,a fault diagnosis method for inter-turn short circuits in turbogenerator rotor windings is proposed based on this neural net-work.The fault diagnosis process of this method is outlined in detail in this paper,and simulation verification is conducted.The proposed method is found to have high accuracy and fast convergence speed,and can effectively diagnose inter-turn short circuit faults in turbogenerator rotor windings.

turbogeneratorinter-turn short of rotor windingfault diagnosisradial basis function neural networkMATLAB

周奇、吕飞、周煜晨、姚殷培、王驰、吴頔杰

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国能长源汉川发电有限公司,湖北 汉川 431600

汽轮发电机 转子绕组匝间短路 故障诊断 径向基函数神经网络 MATLAB

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(11)