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基于换档全过程振动强度的变压器CM型有载分接开关机械故障诊断方法

梁玄鸿 王有元 古洪瑞

中国电机工程学报2024,Vol.44Issue(10):4145-4156,中插34,13.
中国电机工程学报2024,Vol.44Issue(10):4145-4156,中插34,13.DOI:10.13334/j.0258-8013.pcsee.223035

基于换档全过程振动强度的变压器CM型有载分接开关机械故障诊断方法

A Mechanical Fault Diagnosis Method of Transformer CM-type On-load Tap Changer Based on the Vibration Strength of the Overall Tap Changing Process

梁玄鸿 1王有元 1古洪瑞1

作者信息

  • 1. 输变电装备技术全国重点实验室(重庆大学电气工程学院),重庆市 沙坪坝区 400044
  • 折叠

摘要

Abstract

The main fault type of power transformer on-load tap changer(OLTC)is mechanical fault.Most recent studies only diagnose diverter switch faults,and have difficulty in identifying the transmission mechanism faults affecting the whole process of tap changing.To diagnose the diverter switch and transmission mechanism faults more accurately,a mechanical fault diagnosis method of on-load tap changer based on the vibration strength of the overall tap changing process is proposed in this paper.First,multi-channel vibration burst data during the diverter switch operation is transformed into time-domain waveform images and input into improved convolutional neural network(CNN)to obtain pooling layer features.Then,the vibration strength feature of the overall tap changing process is proposed.The vibration signal of overall tap changing process is divided into multiple intervals,and the number of points in each interval whose amplitude exceeds the threshold is counted to characterize the average vibration strength in the interval.Finally,a novel feature processing method is proposed to change the relative size of the above two features,and the features are fused to train classifier for mechanical fault diagnosis.The case analysis shows that compared with the existing OLTC mechanical fault diagnostic methods,the proposed method can effectively identify transmission mechanism faults,further improve the diagnostic accuracy of diverter switch faults,and achieve strong robustness and generalizability,which provides a new idea for OLTC mechanical fault diagnosis.

关键词

有载分接开关/机械故障/故障诊断/卷积神经网络/特征提取/特征处理

Key words

on-load tap changer(OLTC)/mechanical fault/fault diagnosis/convolution neural network(CNN)/feature extraction/feature processing

分类

信息技术与安全科学

引用本文复制引用

梁玄鸿,王有元,古洪瑞..基于换档全过程振动强度的变压器CM型有载分接开关机械故障诊断方法[J].中国电机工程学报,2024,44(10):4145-4156,中插34,13.

基金项目

国家自然科学基金(重点项目)(51637004).Project Supported by National Natural Science Foundation of China(Key Program)(51637004). (重点项目)

中国电机工程学报

OA北大核心CSTPCD

0258-8013

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