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作 者:黄连坡 HUANG Lianpo(Taizhou Sanxin Power Supply Service Co.,Ltd.,Jingjiang Branch Company,Jingjiang 214500,China)
机构地区:[1]泰州三新供电服务有限公司靖江分公司,江苏靖江214500
出 处:《通信电源技术》2024年第9期108-111,共4页Telecom Power Technology
摘 要:供电网络通信电源系统具有复杂的电路结构和多变的运行环境,导致不能准确诊断出故障类型,因此设计一种基于改进小波变换的供电网络通信电源系统故障诊断方法。获取供电网络通信电源系统的运行信号,利用改进的小波变换技术对运行信号进行预处理,有效去除噪声和干扰,提取出故障特征。基于这些故障特征,建立供电网络通信电源系统的故障诊断模型,判断故障类型,实现供电网络通信电源系统的故障诊断。实验结果表明,应用所提方法可成功诊断出全部故障类型,证明设计方法具有较高的诊断准确率,适用于复杂电源系统的故障诊断问题。Due to the complex circuit structure and variable operating environment of the power supply network communication power supply system,it is not possible to accurately diagnose the type of fault.Therefore,a fault diagnosis method for the power supply network communication power supply system based on improved wavelet transform is designed.Obtain the operating signals of the power supply network communication power supply system,use improved wavelet transform technology to preprocess the operating signals,effectively remove noise and interference,and extract fault characteristics.Based on these fault characteristics,establish a fault diagnosis model for the power supply network communication power supply system,determine the type of fault,and achieve fault diagnosis of the power supply network communication power supply system.The experimental results show that the proposed method can successfully diagnose all types of faults,proving that the design method has high diagnostic accuracy and is suitable for fault diagnosis problems in complex power systems.
关 键 词:改进小波变换 供电网络 通信电源系统 故障诊断 神经网络
分 类 号:TN86[电子电信—信息与通信工程]
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