Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jiapeng Tian"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 21, Pp 4291-4303 (2022)
Abstract Power equipment operation and maintenance (O&M) requires plenty of domain knowledge to improve equipment security and power grid reliability. However, most knowledge is implicitly represented by the semantic text, which is hard to be compreh
Externí odkaz:
https://doaj.org/article/a5ab6240a2d146e1bc90657b906eddcb
Publikováno v:
Ceramics International. 48:31909-31913
Publikováno v:
IEEE Transactions on Power Delivery. 37:3335-3344
Recognition of partial discharge (PD) patterns in gas insulated switchgear (GIS), as a basis of fault diagnosis, provides essential information for the condition assessment of GIS. However, traditional recognition methods are limited to handcrafted f
Publikováno v:
IEEE Transactions on Power Delivery. 37:1304-1314
Gas insulated switchgear (GIS) in service may tolerate large temperature changes, which leads to uncertainty in the evaluation of the partial discharge (PD) signal. To clarify the influence of temperature on the discharge signals of GIS insulation vo
Publikováno v:
Applied and Computational Harmonic Analysis. 53:180-198
Rician noise is a common noise that naturally appears in Magnetic Resonance Imaging (MRI) images. Low rank matrix approximation approaches have been widely used in image processing, which takes advantage of the non-local self-similarity between patch
Publikováno v:
Security and Communication Networks.
Currently, deep learning has provided an important means to solve problems in various fields. Intelligent computing will bring a new solution to the security analysis of lightweight block cipher as its analysis becomes more and more intelligent and a
Publikováno v:
Journal of Magnetism and Magnetic Materials. 565:170245
Publikováno v:
2021 Power System and Green Energy Conference (PSGEC).
Entity recognition of GIS fault text contributes to the manual experience sharing and the execution efficiency of GIS operation and maintenance. However, traditional models have poor performance on such entity recognition tasks. In this paper, a nove
Publikováno v:
Mathematical Problems in Engineering, Vol 2019 (2019)
This paper proposes a new effective model for denoising images with Rician noise. The sparse representations of images have been shown to be efficient approaches for image processing. Inspired by this, we learn a dictionary from the noisy image and t
Publikováno v:
Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017).