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基于离散隐马尔科夫模型的变压器励磁涌流鉴别新算法
引用本文:马晓旭,张传利,夏明超,黄益庄. 基于离散隐马尔科夫模型的变压器励磁涌流鉴别新算法[J]. 电力系统自动化, 2000, 24(3): 23-28
作者姓名:马晓旭  张传利  夏明超  黄益庄
作者单位:清华大学电机系,北京,100084
摘    要:将语音信号处理领域的隐马尔科夫模型(HMM)引入变压器保护,在简要介绍HMM及其优点的基础上,提出了一种基于离散HMM的励磁涌流和故障电流的识别方法,利用离散HMM为PSCAD仿真的励磁涌流和故障电流数据建立了模型。计算结果表明该方法能可靠识别内部故障和励磁涌流,效果明显。

关 键 词:励磁涌流 隐马尔科夫模型 变压器 电力系统
收稿时间:1900-01-01
修稿时间:1900-01-01

A NEW APPROACH TO DETECT TRANSFORMER INTERNAL FAULT AND MAGNETIZING INRUSH CURRENT USING DISCRETE HIDDEN MARKOV MODEL
Ma Xiaoxu,Zhang Chuanli,Xia Mingchao,Huang Yizhuang. A NEW APPROACH TO DETECT TRANSFORMER INTERNAL FAULT AND MAGNETIZING INRUSH CURRENT USING DISCRETE HIDDEN MARKOV MODEL[J]. Automation of Electric Power Systems, 2000, 24(3): 23-28
Authors:Ma Xiaoxu  Zhang Chuanli  Xia Mingchao  Huang Yizhuang
Affiliation:Ma Xiaoxu, Zhang Chuanli, XiaMingchao, Huang Yizhuang(Tsinghua University, Beijing 100084, China)
Abstract:Hidden Markov m odel(HMM), w hich is initially em ployed in the field of speech signalprocessing, is introduced into transform er relaying protection. HMM is depicted briefly, and a new m ethod to detect transform er internalfault and m agnetizing inrush currentbased on HMM is presented. Models for fault and m agnetizing inrush currentdata generated by PSCAD are trained utilizing discrete HMM. The calculation result shows that this m ethod is able to detect transform er internalfaultand m agnetizing inrush currentcorrectly.
Keywords:m agnetizing inrush current  discrete  hidden Markov m odel(HMM)  probability
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