Wavelet de-noising and chaos theory applied in transmission line defect detecting

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (5): 224-227.

• 工程与应用 • Previous Articles Next Articles

Wavelet de-noising and chaos theory applied in transmission line defect detecting

LIN Shanming1，2, SUN Haihua1, JIN Jidong1，2, HU Wanqing1, ZHU Changping1，2

1.College of Computer and Information, Hohai University, Changzhou, Jiangsu 213022, China
2.Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Changzhou, Jiangsu 213022, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-02-11 Published:2012-02-11

小波去噪和混沌理论应用于输电线缺陷检测

林善明1，2，孙海华1，金纪东1，2，胡万清1，朱昌平1，2

1.河海大学计算机与信息学院，江苏常州 213022
2.江苏省输配电装备技术重点实验室，江苏常州 213022

Abstract

Abstract: To solve the problem of echo signal which is very weak, the Duffing equation and the theory of wavelet are studied. The signal will be annihilated by strong electromagnetic noises when detecting defects in high voltage transmission lines using Electro-Magnetic Acoustic Transducer（EMAT）. A new chaos weak signal detecting system which is combined with the technology of wavelet de-noising is designed. MATLAB/Simulink is used to simulate the new detecting system. The experimental result shows that the system can detect the useful ultrasound signal under the background of strong electromagnetic noise more effectively, and it can cut down the detecting signal-to-noise ratio of system further. The detecting capability of new system is improved.

Key words: Electro-Magnetic Acoustic Transducer（EMAT）, chaos theory, weak signal detecting, technology of wavelet de-noising, MATLAB/Simulink

摘要： 为了解决在利用电磁超声检测高压输电线路缺陷时，回波信号微弱且易被强大的电磁噪声覆盖而难以提取的问题。认真研究了Duffing方程和小波理论。将小波去噪技术和混沌理论结合起来，设计了一种新型微弱信号检测系统。利用MATLAB/Simulink对系统进行了仿真。实验结果证明，此系统能有效检测强电磁背景下的超声信号，进一步降低了系统的输出信噪比，提高了检测性能。

关键词: 电磁超声, 混沌理论, 微弱信号检测, 小波去噪技术, MATLAB/Simulink

LIN Shanming1，2, SUN Haihua1, JIN Jidong1，2, HU Wanqing1, ZHU Changping1，2. Wavelet de-noising and chaos theory applied in transmission line defect detecting[J]. Computer Engineering and Applications, 2012, 48(5): 224-227.

林善明1，2，孙海华1，金纪东1，2，胡万清1，朱昌平1，2. 小波去噪和混沌理论应用于输电线缺陷检测[J]. 计算机工程与应用, 2012, 48(5): 224-227.

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Wavelet de-noising and chaos theory applied in transmission line defect detecting

小波去噪和混沌理论应用于输电线缺陷检测

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