Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal Theory
Successive flashover would result in carbonized tracking on insulator surface and cause deterioration to the insulation. Thus, investigation of the tracking can be beneficial in understanding flashover characteristics during long-term operation. In this paper, DC flashover was operated on the insula...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/24/8253 |
| _version_ | 1797505159174029312 |
|---|---|
| author | Xiaolong Li Chen Cao Xin Lin |
| author_facet | Xiaolong Li Chen Cao Xin Lin |
| author_sort | Xiaolong Li |
| collection | DOAJ |
| description | Successive flashover would result in carbonized tracking on insulator surface and cause deterioration to the insulation. Thus, investigation of the tracking can be beneficial in understanding flashover characteristics during long-term operation. In this paper, DC flashover was operated on the insulator, and the image of tracking after successive discharge were captured. Improved differential box-counting method (IDBM) was applied to analyze these images based on fractal theory. Weighted item was suggested during the counting procedure for rectangle image with margin covered by cut-size box. Fractal dimension of the tracking was calculated according to the suggested method. It is claimed that the suggested method could estimate the discharge propagation property and deterioration characteristics on the insulator surface. Moreover, IDBM showed advantages in image pre-processing and deterioration property revealed compared to traditional box-counting method attributing to the consideration of color depth. This image analysis method shows universality in dealing with tracking image and could provide additional information to flashover voltage. This paper suggested a potential approach for the investigation of discharge mechanism and corresponding deterioration in future research. |
| first_indexed | 2024-03-10T04:14:38Z |
| format | Article |
| id | doaj.art-ffc1b2b37c954934ad0d4c3ad7c75372 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:14:38Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ffc1b2b37c954934ad0d4c3ad7c753722023-11-23T08:04:41ZengMDPI AGEnergies1996-10732021-12-011424825310.3390/en14248253Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal TheoryXiaolong Li0Chen Cao1Xin Lin2School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSuccessive flashover would result in carbonized tracking on insulator surface and cause deterioration to the insulation. Thus, investigation of the tracking can be beneficial in understanding flashover characteristics during long-term operation. In this paper, DC flashover was operated on the insulator, and the image of tracking after successive discharge were captured. Improved differential box-counting method (IDBM) was applied to analyze these images based on fractal theory. Weighted item was suggested during the counting procedure for rectangle image with margin covered by cut-size box. Fractal dimension of the tracking was calculated according to the suggested method. It is claimed that the suggested method could estimate the discharge propagation property and deterioration characteristics on the insulator surface. Moreover, IDBM showed advantages in image pre-processing and deterioration property revealed compared to traditional box-counting method attributing to the consideration of color depth. This image analysis method shows universality in dealing with tracking image and could provide additional information to flashover voltage. This paper suggested a potential approach for the investigation of discharge mechanism and corresponding deterioration in future research.https://www.mdpi.com/1996-1073/14/24/8253fractal dimensionflashovertrackingdifferential box-counting methodinsulatorepoxy resin |
| spellingShingle | Xiaolong Li Chen Cao Xin Lin Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal Theory Energies fractal dimension flashover tracking differential box-counting method insulator epoxy resin |
| title | Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal Theory |
| title_full | Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal Theory |
| title_fullStr | Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal Theory |
| title_full_unstemmed | Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal Theory |
| title_short | Improved Image Analysis Method to Evaluate Tracking Property under Successive Flashover Based on Fractal Theory |
| title_sort | improved image analysis method to evaluate tracking property under successive flashover based on fractal theory |
| topic | fractal dimension flashover tracking differential box-counting method insulator epoxy resin |
| url | https://www.mdpi.com/1996-1073/14/24/8253 |
| work_keys_str_mv | AT xiaolongli improvedimageanalysismethodtoevaluatetrackingpropertyundersuccessiveflashoverbasedonfractaltheory AT chencao improvedimageanalysismethodtoevaluatetrackingpropertyundersuccessiveflashoverbasedonfractaltheory AT xinlin improvedimageanalysismethodtoevaluatetrackingpropertyundersuccessiveflashoverbasedonfractaltheory |