The features of infrared thermal image in distribution switchgear and fusion diagnosis

Fusion diagnosis of medium and low voltage distribution switchgear (MLVDS) is an important technology for identification the power equipment operating status by infrared thermal image analysis, combined the partial discharge method for complex faults. The objective of this research is to develop fusion diagnosis and techniques for detect the state of 10kV and 400V distribution equipment in the switch-gear and its bus, identifying its abnormal conditions, by the infrared camera method and UHF partial discharge detection. The condition data of the equipment from these sensors is collected and analyzed to from the operating conditions by intelligent monitoring data technology for power distribution equipment. Under the background of actual failure case, overheat defects and discharge defects were captured and deeply analysis by infrared method. The fusion recognition by comprehensive detect for a MLVDS contactors power line and terminal board were verified in power distribution site. This paper provides a fault monitoring and diagnosis instance for MLVDS to detect overheat detects and partial discharge defects.

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Published
2024-09-27
DOI
https://doi.org/10.1117/12.3037607
Primary Topic
Currency Recognition and Detection
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article
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The features of infrared thermal image in distribution switchgear and fusion diagnosis

Tianle Li, Quanmin Dai, Gong Cheng, Yanxiu Liu et al.
Currency Recognition and Detection
article

The features of infrared thermal image in distribution switchgear and fusion diagnosis

Tianle Li, Quanmin Dai, Gong Cheng, Yanxiu Liu, Yifei Li, Dongying Zhang
article en

Abstract

Fusion diagnosis of medium and low voltage distribution switchgear (MLVDS) is an important technology for identification the power equipment operating status by infrared thermal image analysis, combined the partial discharge method for complex faults. The objective of this research is to develop fusion diagnosis and techniques for detect the state of 10kV and 400V distribution equipment in the switch-gear and its bus, identifying its abnormal conditions, by the infrared camera method and UHF partial discharge detection. The condition data of the equipment from these sensors is collected and analyzed to from the operating conditions by intelligent monitoring data technology for power distribution equipment. Under the background of actual failure case, overheat defects and discharge defects were captured and deeply analysis by infrared method. The fusion recognition by comprehensive detect for a MLVDS contactors power line and terminal board were verified in power distribution site. This paper provides a fault monitoring and diagnosis instance for MLVDS to detect overheat detects and partial discharge defects.

Beijing Union University (CN), North China Electric Power University (CN), State Grid Corporation of China (China) (CN), Tech Pro (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 84%
Currency Recognition and Detection
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The features of infrared thermal image in distribution switchgear and fusion diagnosis — Tianle Li, Quanmin Dai, et al. · (2024) | TGRS Research Map | TGRS