Transesterification Approaches to Natural Esters for Transformer Insulating Fluids: A Review

Raymon, A.

doi:10.1109/tdei.2023.3331664

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2024

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Cited by 3 publications

References 40 publications

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Characterization and aging impact study on antioxidants with CaO catalyzed methyl ester from waste cooking oil as sustainable insulation as biorefinery approach

Prasad,

Sreekanth,

Muniraj

et al. 2024

Biomass Conv. Bioref.

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Characterization and aging impact study on antioxidants with CaO catalyzed methyl ester from waste cooking oil as sustainable insulation as biorefinery approach

Prasad,

Sreekanth,

Muniraj

et al. 2024

Biomass Conv. Bioref.

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Developing a framework to conduct ageing studies in Insulating Oil for Power and Distribution Transformers

Raj,

Sarathkumar,

Baptist Andrews

et al. 2024

2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)

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Intuitionistic Fuzzy Set Guided Fast Fusion Transformer for Multi-Polarized Petrographic Image of Rock Thin Sections

Chen,

Yan,

Wang

et al. 2024

Symmetry

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The fusion of multi-polarized petrographic images of rock thin sections involves the fusion of feature information from microscopic images of rock thin sections illuminated under both plane-polarized and orthogonal-polarized light. During the fusion process of rock thin section images, the inherent high resolution and abundant feature information of the images pose substantial challenges in terms of computational complexity when dealing with massive datasets. In engineering applications, to ensure the quality of image fusion while meeting the practical requirements for high-speed processing, this paper proposes a novel fast fusion Transformer. The model leverages a soft matching algorithm based on intuitionistic fuzzy sets to merge redundant tokens, effectively mitigating the negative effects of asymmetric dependencies between tokens. The newly generated artificial tokens serve as brokers for the Query (Q), forming a novel lightweight fusion strategy. Both subjective visual observations and quantitative analyses demonstrate that the Transformer proposed in this paper is comparable to existing fusion methods in terms of performance while achieving a notable enhancement in its inference efficiency. This is made possible by the attention paradigm, which is equivalent to a generalized form of linear attention, and the newly designed loss function. The model has been experimented on with multiple datasets of different rock types and has exhibited robust generalization capabilities. It provides potential for future research in diverse geological conditions and broader application scenarios.

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Transesterification Approaches to Natural Esters for Transformer Insulating Fluids: A Review

Cited by 3 publications

References 40 publications

Characterization and aging impact study on antioxidants with CaO catalyzed methyl ester from waste cooking oil as sustainable insulation as biorefinery approach

Characterization and aging impact study on antioxidants with CaO catalyzed methyl ester from waste cooking oil as sustainable insulation as biorefinery approach

Developing a framework to conduct ageing studies in Insulating Oil for Power and Distribution Transformers

Intuitionistic Fuzzy Set Guided Fast Fusion Transformer for Multi-Polarized Petrographic Image of Rock Thin Sections

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