Power disturbance classifier using a rule-based method and wavelet packet-based hidden Markov model

被引：88

作者：

Chung, J ^{[1
]}

Powers, EJ

Grady, M

Bhatt, SC

机构：

[1] Univ Texas, Dept Elect & Comp Engn, Austin, TX 78712 USA

[2] Elect Power Res Inst, Palo Alto, CA 94303 USA

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2002年 / 17卷 / 01期

关键词：

classifier; hidden Markov model (HMM); power disturbances; wavelet packet;

D O I：

10.1109/61.974212

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a novel classification method for power distribution line disturbances using a rule-based method and a wavelet packet-based hidden Markov model (HMM). The rule-based method is utilized for the classification of time-characterized-feature disturbances, and the wavelet packet-based HMM is utilized for the frequency-characterized-feature power disturbances. This proposed method classifies six types of actual recorded power distribution disturbances, i.e., sag, interruption, fast capacitor switching, capacitor switching, normal variation, and impulse disturbance, and obtains 98.7% correct classification rate for 670 actual disturbance events tested.

引用

页码：233 / 241

页数：9

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