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Condition Evaluation of the Contaminated Insulators by Visible Light Images Assisted With Infrared Information | IEEE Journals & Magazine | IEEE Xplore

Condition Evaluation of the Contaminated Insulators by Visible Light Images Assisted With Infrared Information


Abstract:

Pollution flashover is harmful and has caused huge economic losses. Thus, it is important to evaluate the contamination condition of insulators to prevent the pollution f...Show More

Abstract:

Pollution flashover is harmful and has caused huge economic losses. Thus, it is important to evaluate the contamination condition of insulators to prevent the pollution flashover. The objective of this paper is to discriminate the insulator contamination grades by the noncontact method. In this paper, a method of visible light images assisted with infrared information is proposed. The proposed method evaluates the contamination condition using the visible light images, and is corrected by the infrared information in the wet environment. A mathematical model is established to study the relationship between the equivalent salt deposit density (ESDD) (mg/cm2) and the color features. The influences of illumination L and relative humidity (RH) on the color features are analyzed and their eliminated methods are proposed. The infrared image information is proposed to assist the visible light image method when RI ≳ 60%. In the experiment, the visible light images of the artificial polluted insulators are acquired by a digital camera under different illuminations L and RI!s, and the average value of V component Vave in the YUV color space is selected for the discrimination of contamination grades. In the test, the proposed method gives an 84% accuracy rate when RI! <; 60% and gives an 89% accuracy rate when RI ≳ 60%. Finally, naturally polluted insulators were tested. The general test error of ESDD is about 0.0119 mg/cm2. Therefore, it might be concluded the condition of naturally polluted insulators could be evaluated by the proposed method of visible light images assisted with infrared information.
Published in: IEEE Transactions on Instrumentation and Measurement ( Volume: 67, Issue: 6, June 2018)
Page(s): 1349 - 1358
Date of Publication: 05 February 2018

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