基于操作力矩的高压隔离开关机械缺陷智能诊断

doi:10.19595/j.cnki.1000-6753.tces.200258

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摘要隔离开关故障频发却缺乏有效诊断方法,该文提出一种基于操作力矩波形的隔离开关机械状态智能诊断方法。为对操作力矩进行准确检测,研制了电机式操作力矩检测装置,并通过刚柔耦合动力学仿真模型验证了试验结果的准确性,通过模拟合闸不到位、卡涩和三相不同期三种典型机械缺陷,分析总结操作力矩在不同机械状态下变化规律。从波形中提取啮合前力矩均值、啮合角度、停止角度三个特征量,作为神经网络诊断模型的输入,实现缺陷智能判断。再从特征量中反演出表征故障严重程度的故障量,使该诊断技术不仅能判断正常、卡涩、三相不同期和合闸不到位四种机械状态,还可输出卡涩等级与标准位相差角度,触头触指间距离等与检修标准密切相关的故障量,为隔离开关检修提供实用性参考。

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	彭诗怡
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	刘源

关键词 ：隔离开关, 故障诊断, 动力学仿真, 神经网络

Abstract：As high voltage equipment with the largest number and most failures, disconnector still judged by the backward traditional maintenance methods. This paper aims to propose a convenient and reliable fault diagnosis method for disconnector. Based on the consistent results of rigid-flexible coupling dynamic simulation and torque detection experiment, the driving torque is proved closely related to the states of disconnector, and three characteristics extracted from the driving torque wave was chosen as the input of the neural network model, which can identify four typical status of disconnector intelligently. And the neural network model was optimized to output more information about its degree, which can provide more useful reference for the fault diagnosis of disconnector.

Key words： Disconnectors fault diagnosis dynamic simulation neural network

收稿日期: 2020-03-12

PACS:

TM732

基金资助:国家电网公司科技项目资助（521820180019）

通讯作者: 彭诗怡女,1994年生,硕士,助理工程师,研究方向为开关设备运行管理及状态评价等。E-mail：524409117@qq.com

作者简介: 刘衍男,1983年生,硕士,高级工程师,研究方向为开关设备运行管理及过电压。E-mail：lywhu096@163.com

引用本文:

彭诗怡, 刘衍, 周涛涛, 阮江军, 刘源. 基于操作力矩的高压隔离开关机械缺陷智能诊断[J]. 电工技术学报, 2021, 36(7): 1356-1367. Peng Shiyi, Liu Yan, Zhou Taotao, Ruan Jiangjun, Liu Yuan. Intelligent Diagnosis Technology of Mechanical Defects of High Voltage Disconnector. Transactions of China Electrotechnical Society, 2021, 36(7): 1356-1367.

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