Advanced monitoring system for integrity assessment of electric power transmission lines

被引：0
|
作者：
Lim, Sun-Wook [1 ]
Shoureshi, Rahmat A. [1 ]
机构：
[1] Univ Denver, Sch Engn & Comp Sci, Boettcher Ctr E, 2050 E Iliff Ave,RM 228, Denver, CO 80208 USA
来源：
2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2006年 / 1-12卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An advanced monitoring system, composed of an Electromagnetic Acoustic Transducer (EMAT), and a neural-based classifier has been developed. The fault detection is achieved by analyzing the reflected displacement waves from broken strands of the transmission line. This monitoring system can assess the state of an energized electric transmission lines in real-time. For pattern analysis of reflected signals and extracting important features from the raw data, signal processing and feature extraction techniques are employed. In addition, this paper presents a technique for synthesizing signatures using Neural-Fuzzy inference engine for enhancing the robustness of the classifier. Experimental results verifying performance of this new monitoring system are presented.
引用
收藏
页码：4418 / 4423
页数：6
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