Partial Discharge detection

Insulation fault detection in rotating machinery using Partial Discharge (PD) has been a hot research topic over the last decades. In recent years, attention has also been paid to low voltage machines, following the advent of wide bandgap semiconductor devices. This paper presents a low-cost, modular, and full-digital PD monitoring device, particularly suitable for deployment in large industrial plants. The proposed innovative solution allows us to implement a monitoring network, ensuring complete coverage in large industrial plants and continuous monitoring of critical machinery. The PD monitoring device relies on a PD conditioning front-end, an acquisition board connected via a daisy chain topology to an interface board, which communicates via Universal Serial Bus with a personal computer. The PD conditioning front-end was initially simulated using PSpice, then built and tested together with the entire acquisition system.Preliminary tests conducted on a proof-of-concept laboratory setup, which included a low voltage induction motor, produced promising results.近数十年来，借助局部放电（Partial Discharge, PD）技术开展旋转机械绝缘故障检测，始终是学界的研究热点。近年来，随着宽禁带半导体器件（wide bandgap semiconductor devices）的问世，低压电机也逐渐受到研究关注。本文提出一款低成本、模块化且全数字化的局部放电监测装置，尤其适配大型工业场景的部署需求。该创新性方案可搭建覆盖全面的监测网络，保障大型工业场景的无死角覆盖，并实现关键机组的持续在线监测。该局部放电监测装置包含局部放电调理前端，以及一块通过菊花链拓扑结构与接口板相连的采集板；接口板通过通用串行总线（Universal Serial Bus, USB）与个人计算机完成通信交互。该局部放电调理前端首先通过PSpice进行电路仿真，随后与整套采集系统一同搭建并完成测试验证。针对搭载低压感应电机的概念验证实验室平台开展的初步测试，取得了颇具前景的试验结果。

搜集汇总

背景与挑战

背景概述

该数据集专注于旋转机械中的局部放电检测，包含两种测量设备在不同测试电压下的.wav格式数据，适用于绝缘故障诊断和机器学习研究。数据集提供了详细的采样参数和测试条件，适合用于工业设备状态监测和故障预测分析。