局部放电无噪与染噪数据集

局部放电(简称局放)是电气设备绝缘劣化的重要表现形式，已成为电气设备在线监测的重要组成部分。局放的类型不同，其对绝缘的损伤机制及破坏作用也不同，因此对局放信号去噪效果的判定具有重要意义。本数据集可用于验证实验方法对局放信号的去噪效果，数据由实验室内产生，无噪数据是直接生成，染噪数据为人为叠加噪声后生成。

Partial Discharge (PD for short) is an important manifestation of insulation degradation in electrical equipment, and has emerged as a critical component of on-line monitoring for such equipment. Different PD types feature distinct damage mechanisms and destructive impacts on insulation, rendering the assessment of denoising effects for PD signals highly significant. This dataset can be utilized to validate the denoising performance of experimental methods on PD signals. All data was generated in a laboratory environment: noise-free data was produced directly, while noisy data was created by artificially superimposing noise onto clean PD signals.

搜集汇总

背景与挑战

背景概述

该数据集由华北电力大学发布，专注于电气设备局部放电信号的去噪研究，包含无噪和人为叠加噪声的染噪两类数据，旨在验证去噪方法的有效性。数据量达301.77MB，共612个文件，来源于国家重点研发计划项目'数字电网关键技术'，适用于高电压工程和绝缘技术领域的实验分析。