Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm
With the advancement of social economy, electricity has gradually entered thousands of households and become a commonly used energy source. However, it cannot be ignored that electricity is dangerous in itself and should be used rationally and effectively. The fault detection of power equipment has...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2021/9295771 |
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| _version_ | 1832551650305245184 |
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| author | Hongzhao Li |
| author_facet | Hongzhao Li |
| author_sort | Hongzhao Li |
| collection | DOAJ |
| description | With the advancement of social economy, electricity has gradually entered thousands of households and become a commonly used energy source. However, it cannot be ignored that electricity is dangerous in itself and should be used rationally and effectively. The fault detection of power equipment has become a top priority because they are essential tools for storing, transmitting, and transferring electric power. Based on infrared imaging technology, the principle of infrared imaging technology is introduced in this paper, and effective diagnosis methods are analyzed and summarized in detail. The effectiveness of the proposed infrared image segmentation algorithm is verified through the practical application of the infrared image segmentation algorithm in the detection of interior and exterior faults of electrical equipment. |
| format | Article |
| id | doaj-art-1641c773213248a8a323326233cf2c19 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-1641c773213248a8a323326233cf2c192025-02-03T06:00:50ZengWileyAdvances in Multimedia1687-56992021-01-01202110.1155/2021/9295771Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation AlgorithmHongzhao Li0Beijing PolytechnicWith the advancement of social economy, electricity has gradually entered thousands of households and become a commonly used energy source. However, it cannot be ignored that electricity is dangerous in itself and should be used rationally and effectively. The fault detection of power equipment has become a top priority because they are essential tools for storing, transmitting, and transferring electric power. Based on infrared imaging technology, the principle of infrared imaging technology is introduced in this paper, and effective diagnosis methods are analyzed and summarized in detail. The effectiveness of the proposed infrared image segmentation algorithm is verified through the practical application of the infrared image segmentation algorithm in the detection of interior and exterior faults of electrical equipment.http://dx.doi.org/10.1155/2021/9295771 |
| spellingShingle | Hongzhao Li Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm Advances in Multimedia |
| title | Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm |
| title_full | Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm |
| title_fullStr | Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm |
| title_full_unstemmed | Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm |
| title_short | Thermal Fault Detection and Diagnosis of Electrical Equipment Based on the Infrared Image Segmentation Algorithm |
| title_sort | thermal fault detection and diagnosis of electrical equipment based on the infrared image segmentation algorithm |
| url | http://dx.doi.org/10.1155/2021/9295771 |
| work_keys_str_mv | AT hongzhaoli thermalfaultdetectionanddiagnosisofelectricalequipmentbasedontheinfraredimagesegmentationalgorithm |