Open Access
ARTICLE
Fractal Dimension Analysis Based Aging State Assessment of Insulating Paper with Surface Microscopic Images
Shuaibing Li1,*, Jiaqi Cui2, Yongqiang Kang1
1 School of New Energy & Power Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China
2 School of Automatic & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China
* Corresponding Author: Shuaibing Li. Email:
(This article belongs to this Special Issue: Artificial Intelligence in Renewable Energy and Storage Systems)
Computer Modeling in Engineering & Sciences 2022, 131(2), 1083-1099. https://doi.org/10.32604/cmes.2022.019671
Received 09 October 2021; Accepted 09 November 2021; Issue published 14 March 2022
Abstract
The insulating paper of the transformer is affected by many factors during the operation, meanwhile, the surface
texture of the paper is easy to change. To explore the relationship between the aging state and surface texture change
of insulating paper, firstly, the thermal aging experiment of insulating paper is carried out, and the insulating paper
samples with different aging times are obtained. After then, the images of the aged insulating paper samples are
collected and pre-processed. The pre-processing effect is verified by constructing and calculating the gray surface
of the sample. Secondly, the texture features of the insulating paper image are extracted by box dimension and
multifractal spectrum. Based on that, the extreme learning machine (ELM) is taken as the classification tool with
texture features and aging time as the input and output, to train the algorithm and construct the corresponding
relationship between the texture feature and the aging time. After then, the insulating paper with unknown aging
time is predicted with a trained ELM algorithm. The numerical test results show that the texture features extracted
from the fractal dimension of the micro image can effectively characterize the aging state of insulating paper, the
average accuracy can reach 91.6%. It proves that the fractal dimension theory can be utilized for assessing the aging
state of insulating paper for onsite applications.
Keywords
Cite This Article
Li, S., Cui, J., Kang, Y. (2022). Fractal Dimension Analysis Based Aging State Assessment of Insulating Paper with Surface Microscopic Images.
CMES-Computer Modeling in Engineering & Sciences, 131(2), 1083–1099.