2021
DOI: 10.1002/tee.23306
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Infrared and UV Imaging Characteristics of Insulator Strings Containing a Zero‐Value Insulator Based on Experiment and Multi‐Physics Simulation

Abstract: To study the effectiveness of infrared and UV imaging technology to detect zero‐value insulators, the infrared thermal images and UV videos of zero‐value insulators at different positions on insulator strings were collected at different humidities and levels of pollution. The heat and discharge characteristics of the insulator strings were analyzed. The thermal‐electric multi‐physics simulation models were established with COMSOL Multiphysics finite element analysis software. The temperature and electric field… Show more

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Cited by 8 publications
(2 citation statements)
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“…Zero-value insulator detection is divided into the insulation resistance method, spark gap method, voltage distribution method, and infrared thermal imaging method. Among them, the insulation resistance method is the power failure detection method, and the other three are the live detection method [8][9][10]. The resistance measurement module is mainly used for the zero-value detection of porcelain insulators.…”
Section: Resistance Measurement Modulementioning
confidence: 99%
“…Zero-value insulator detection is divided into the insulation resistance method, spark gap method, voltage distribution method, and infrared thermal imaging method. Among them, the insulation resistance method is the power failure detection method, and the other three are the live detection method [8][9][10]. The resistance measurement module is mainly used for the zero-value detection of porcelain insulators.…”
Section: Resistance Measurement Modulementioning
confidence: 99%
“…The non-contact detection of power equipment has been successfully used in the detection of power equipment status, including infrared detection [5][6][7][8][9], ultraviolet detection [10], ultrasonic detection [11], infrared thermal imaging detection [12], laser detection [13], etc., which enable the state detection of power equipment to be carried out without interruption. However, data analysis and status diagnosis still rely on experienced power engineers, which limited the efficiency of power equipment status detection.…”
Section: Introductionmentioning
confidence: 99%