Research on the Image Feature Extraction Method for Laser Detection of SF6 Gas Leakage

doi:10.11930/j.issn.1004-9649.2014.1.8.4

Abstract

Abstract: In order to realize the effective management of detection information, a management system for laser imaging detection of SF₆ gas leakage is developed with Matlab language in this paper, which can automatically achieve image enhancement, wavelet threshold denoising and frame differencing and has the function of visual display of leakage movement trajectory, leakage locating and quantification, as a result, realizing the change from artificial recognition to automatic recognition and improving the diagnosis accuracy and automation level. This system can be used for assistant evaluation of the insulating status of the SF₆ apparatus and provide technical reference for fault diagnosis for maintenance personnel. Its effectiveness has been proved in practical use.

Key words: SF6 gas leakage, feature extraction, image processing, Matlab

CLC Number:

TM85

GENG Jiang-hai, WANG Ping, TIAN Shan. Research on the Image Feature Extraction Method for Laser Detection of SF₆ Gas Leakage[J]. Electric Power, 2014, 47(1): 8-12.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2014.1.8.4

https://www.electricpower.com.cn/EN/Y2014/V47/I1/8

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Research on the Image Feature Extraction Method for Laser Detection of SF₆ Gas Leakage

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