面向高压电气试验的自动化预警技术

Automatic Early Warning Technology for High-Voltage Electrical Test

本文研究了面向高压电气试验的自动化预警技术,采集了高压电气试验中的电气设备状态和环境参数,通过缺失值处理、数据规范化、小波去噪等步骤预处理数据,基于相似性原理建立了一种多参数状态估计模型,以估计电气设备可能出现的故障,实现高压电气试验的自动化预警。实验结果表明,本文设计的自动化预警技术准确度为96.3%,在面向高压电气试验预警时具有较高精度。

This paper studied the automatic early warning technology for high-voltage electrical test,collected high-voltage electrical test electrical equipment status,environmental parameters such as data,through missing value processing,data standardization,wavelet denoising steps preprocessing data,based on the principle of similarity,established a multiple parameter state estimation model,to anticipated the electrical equipment possible failure,realize the automation of highvoltage electrical test warning.The experimental results show that the accuracy of the automatic early warning technology designed in this paper is 96.3%,and has high precision for the high-voltage electrical test early warning.