Results 211 to 220 of about 2,009,340 (258)

Power transformer online monitoring and state assessment method based on 2DCNN-BiLSTM multi-source feature fusion. [PDF]

PLoS One
Zhang W, Liu L, Chen C, Wei S, Zhang Y, Huo Z, Li D, Yin H.   +7 more
europepmc   +1 more source

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Pt-Doped HfS2 Monolayer as a Novel Sensor and Scavenger for Dissolved Gases (H2, CO2, CH4, and C2H2) in Transformer Oil: A Density Functional Theory Study.

Langmuir, 2023
Detecting the types and concentrations of dissolved gases in insulating oil by resistivity-type sensors is an extremely effective means for diagnosing faults in an oil-immersed transformer. However, further breakthroughs and innovations are needed in gas-
Long Huang, Detao Lu, W. Zeng, Qu Zhou
semanticscholar   +1 more source

Dissolved gas analysis in transformer oil using Ni-Doped GaN monolayer: A DFT study

Superlattices and Microstructures, 2021
In order to evaluate the running status of the transformer, through the detection of the dissolved gas in oil using highly sensitive gas sensor is proposed as an effective method. In this work, the adsorption characteristics of dissolved gases (H2, C2H2,
Jincong Wang, Xiaoxing Zhang, Li Liu, Zeng-Rong Wang   +3 more
semanticscholar   +1 more source

FDS Measurement-Based Moisture Estimation Model for Transformer Oil-Paper Insulation Including the Aging Effect

IEEE Transactions on Instrumentation and Measurement, 2021
Moisture accumulates with the growing aging progress of oil-paper insulation and further shortens the remaining life of the transformer. The frequency-domain spectroscopy (FDS) technique can be used to realize the moisture estimation.
Xianhao Fan, Jiefeng Liu, B. Lai, Yiyi Zhang, Chaohai Zhang   +4 more
semanticscholar   +1 more source

Experimental investigation on treated transformer oil (TTO) and its diesel blends in the diesel engine

Energy Harvesting and Systems, 2022
The increase in fuel prices, along with the lack of petroleum supplies, has led researchers to seek out alternative fuels. In recent years, the concept of transforming waste into a productive source of energy has gained attention.
P. Belkhode, V. Ganvir, Sagar D. Shelare, Anand C. Shende, P. Maheshwary   +4 more
semanticscholar   +1 more source

An extensive critique on transformer oil reclamation techniques

International Conference on Recent Advances and Innovations in Engineering, 2022
Transformers serve as the backbone of electricity transmission and distribution networks all over the world. Power transformers are extremely expensive, hence regular preservation is required to secure that this systems are more genuine while in use ...
S. D, S. M, Raymon Antony Raj
semanticscholar   +1 more source

A Novel Application of the Cross-Capacitive Sensor in Real-Time Condition Monitoring of Transformer Oil

IEEE Transactions on Instrumentation and Measurement, 2021
This article presents the novel application of a cross-capacitive sensor for monitoring insulation degradation of transformer oil. The condition of insulating oil is determined by measuring the variation of the moisture content and furfural (2-FAL ...
Obaidur Rahman, T. Islam, N. Khera, S. A. Khan   +3 more
semanticscholar   +1 more source

Utilization of waste transformer oil as a fuel in diesel engine

, 2021
The growing price of fossil oils, the gradual decline of petroleum supplies and the unsustainable emissions of motor vehicles led researchers to look for substitute fuel, such as waste lubricant oil and waste transformation oil (WTO).
P. Belkhode, V. Ganvir, Anand C. Shende, Sagar D. Shelare   +3 more
semanticscholar   +1 more source

On evaluation of thermophysical properties of transformer oil-based nanofluids: A comprehensive modeling and experimental study

Journal of Molecular Liquids, 2020
Transformer oil-based nanofluids are known to have higher thermal conductivity and heat transfer performance compared to conventional transformer oils. In this study, four different types of transformer oil-based nanofluids are synthesized using the well-
Ahmadreza Ghaffarkhah, Masoud Afrand, Mohsen Talebkeikhah   +2 more
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Self-Supervised Spectral–Spatial Transformer Network for Hyperspectral Oil Spill Mapping

IEEE Transactions on Geoscience and Remote Sensing, 2023
Hyperspectral oil spill mapping aims to distinguish the type of oil spill. Recently, most hyperspectral oil spill detection methods are based on supervised methods that work well with rich training samples.
Xudong Kang, Bin Deng, Puhong Duan, Xiaohui Wei, Shutao Li   +4 more
semanticscholar   +1 more source