Motor misalignment detection based on hidden markov model

被引：0

作者：

Wongsuwan, Tichate ^{[1
]}

Tangamchit, Poj ^{[1
]}

Prapanavarat, Cherdchai ^{[2
]}

Pusayatanont, Mongkol ^{[3
]}

机构：

[1] King Monguts Univ Technol Thonburi, Control Syst & Instrumentat Engn Dept, Bangkok, Thailand

[2] King Monguts Univ Technol Thonburi, Dept Elect Engn, Bangkok, Thailand

[3] Ubonrachatani Univ, Dept Elect Engn, Ubonrachatani, Thailand

来源：

2006 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES,VOLS 1-3 | 2006年

关键词：

motor misalignment; HiddenMarkov model; wavelet transform; feature vector;

D O I：

暂无

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 purpose a fault detection technique in three-phase induction motors based on Hidden Markov Model (HMM). This technique detects misalignment of motor's shaft by using HMM recognition of stator's current using Cepstral coefficients as feature vectors. We divided the amount misalignment into six group levels. In each level, we trained the HMM with a set of data that represents each level of misalignment, the experiments indicated 83.34 % recognition rate.

引用

页码：472 / +

页数：2

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