Mr. Song Wei Profile

Song Wei

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Publications (4)

Proceedings Article | 29 March 2023 Paper

Application of single hidden layer fuzzy recurrent wavelet neural network to multi-physical parameter monitoring and on-line analysis of high voltage power equipment

Shiling Zhang, Song Wei, Yin Hua

Proceedings Volume 12566, 125663Y (2023) https://doi.org/10.1117/12.2668982

KEYWORDS: Gases, Light sources, Wavelets, Data modeling, Ultraviolet radiation, Sensors, Neural networks, Switching, Light absorption, Systems modeling

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Proceedings Article | 13 January 2023 Paper

Research on feature fusion of optical sensing database of power equipment based on canonical correlation analysis technology

Shiling Zhang, Wei Song, Junjie Li, Han Xia

Proceedings Volume 12509, 1250915 (2023) https://doi.org/10.1117/12.2655868

KEYWORDS: Transformers, Image fusion, Instrument modeling, Databases, Optical sensing, Thermal modeling, Simulation of CCA and DLA aggregates, Infrared radiation, Infrared imaging, Image processing

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In the process of the construction of China's new power system, we will vigorously promote the research and development of UHV power equipment and the wide application of power electronic devices. UHV power equipment has complex insulation structure and huge volume, bear impact energy load of wind power and photovoltaic of new power system for a long time. It will cost a lot to carry out on-site operation and maintenance tests. Digital twin technology is becoming more and more perfect, and new power system construction is gradually introduced from automobile, aviation and other manufacturing industries. Based on this, this paper introduces the digital twin technology into the high-end power equipment of the new power system, and carries out on-site operation and maintenance simulation test and functional response analysis under high current, high voltage and multi harmonic loads according to its twin model. From the four sensing dimensions of mechanical vibration, gas composition, optical vision and electrical parameters, the improvement of intelligent sensing technology of new power system equipment is analyzed, and the interaction between on-site operating parameters and digital twin model data is realized. On the other hand, GPU computing power expansion technology supporting digital twin multi-source sensing technology is proposed, which can effectively support the dynamic behavior simulation monitoring of equipment from 10-5 seconds to 103 seconds, and the operation life evaluation strategy of high-end equipment is proposed. This paper focuses on the 3D construction of the digital twin model of the high-end equipment of the new power system, and its research method can be extended to the construction of the whole network digital twin model of the new power system. The research results can provide theoretical guidance and technical reference for the application of digital twin technology in high-end power equipment scenarios, and effectively support the safe and stable operation of the new power system with "double high characteristics".

Proceedings Article | 20 October 2022 Paper

Calculation of surface electric field distribution and corona onset voltage of stranded conductors and its field application

Shiling Zhang, Song Wei

Proceedings Volume 12350, 123500S (2022) https://doi.org/10.1117/12.2653508

KEYWORDS: Surface roughness, Aluminum, Finite element methods, Ionization, Dielectrics, 3D modeling, Computer simulations, Modeling and simulation, Environmental sensing, Curium

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Proceedings Article | 23 August 2022 Paper

Insulation structure research and design optimization of ± 1100kV DC SF6 gas insulated through wall bushing

Shiling Zhang, Song Wei

Proceedings Volume 12330, 123300S (2022) https://doi.org/10.1117/12.2646304

KEYWORDS: Dielectrics, Electrodes, Epoxies, Structural design, Composites, Transformers, Geographic information systems, Capacitance, Resistance, Metals

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