Yiming Yang

ORCID: 0009-0003-2104-028X
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About
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Research Areas
  • Magnetic Properties and Applications
  • Non-Destructive Testing Techniques
  • Electric Motor Design and Analysis
  • Magnetic Bearings and Levitation Dynamics
  • Power Transformer Diagnostics and Insulation
  • MXene and MAX Phase Materials
  • Magnetic Field Sensors Techniques
  • Manufacturing Process and Optimization
  • Metabolomics and Mass Spectrometry Studies
  • Conducting polymers and applications
  • Graphene research and applications
  • Particle accelerators and beam dynamics
  • Mass Spectrometry Techniques and Applications
  • Electromagnetic Simulation and Numerical Methods
  • Magnetic Properties of Alloys
  • High-Voltage Power Transmission Systems
  • HVDC Systems and Fault Protection
  • Analytical Chemistry and Chromatography

University Town of Shenzhen
2024

Tsinghua University
2024

Jiangsu University of Technology
2024

Hebei University of Technology
2020-2023

China Three Gorges University
2021

China Energy Engineering Corporation (China)
2021

Abstract Structural annotation of small molecules in tandem mass spectrometry has always been a central challenge analysis, especially using miniaturized spectrometer for on-site testing. Here, we propose the Transformer enabled Fragment Tree (TeFT) method, which combines various types fragmentation tree models and deep learning module. It is aimed to generate specific structure de novo solely from spectra. The evaluation results on different open-source databases indicated that proposed...

10.1038/s42004-024-01189-0 article EN cc-by Communications Chemistry 2024-05-13

Soft magnetic composite (SMC) is composed of ferromagnetic particles surrounded by electrical insulation layer. During the manufacturing process, electric layer may be destroyed and thus eddy current will induced, which makes it difficult to calculate accurate loss. In this paper, inter-particle loss calculated at macro-scale modeling actual sample using measured conductivity sample, moreover intra-particle single particle SMC base on existing model. Then, under different sizes frequencies,...

10.1063/9.0000083 article EN cc-by AIP Advances 2021-01-01

The residual flux measurement is one of the difficulties in transformer research field. This article presents a density (B <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> ) method considering relative differential permeability (μ xmlns:xlink="http://www.w3.org/1999/xlink">rd</sub> core material. First, basic relationship between μ and B analyzed on basis magnetic domain theory. Then, combining experimentally measured , using as an...

10.1109/tmag.2020.3003658 article EN IEEE Transactions on Magnetics 2020-06-19

Residual flux density in the single-phase transformer core can dramatically increase inrush current when is energized. To reduce current, it necessary to study residual measurement. This paper proposes a new measurement method based on time constant. Firstly, generation principle of analyzed under different magnetization states, and found that positive relative differential permeability smaller than negative at density. obtain permeability, an appropriate DC excitation applied, circuit...

10.1109/access.2020.3024828 article EN cc-by-nc-nd IEEE Access 2020-01-01

Soft magnetic composite (SMC) is composed of ferromagnetic particles surrounded by an electrical insulation layer. The unique structure SMC makes it difficult to calculate the eddy current loss SMC. In addition, temperature rise in working condition affects properties material, which necessary consider effect process core prediction. this paper, a property test platform that considers influence established. losses ring sample were measured at 20–100 °C, and experimental results show...

10.1109/access.2021.3072971 article EN cc-by IEEE Access 2021-01-01

Augmenting the multi-step reasoning abilities of Large Language Models (LLMs) has been a persistent challenge. Recently, verification shown promise in improving solution consistency by evaluating generated outputs. However, current approaches suffer from sampling inefficiencies, requiring large number samples to achieve satisfactory performance. Additionally, training an effective verifier often depends on extensive process supervision, which is costly acquire. In this paper, we address...

10.48550/arxiv.2410.01920 preprint EN arXiv (Cornell University) 2024-10-02

Based on the existing soft magnetic composite (SMC) finite element models, three-dimensional(3D) simulation models of SMC single particle and ring sample were established in this paper. In view fact that do not take into account effect harmonics hysteresis loss SMC, based calculation formula Bertotti separation theory, an improved expression coefficient is derived by introducing correction factor coefficient. And it applied to model so can be used calculate core under non-sinusoidal...

10.1109/cefc55061.2022.9940807 article EN 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) 2022-10-24

Due to the effect of higher harmonics on magnetic properties under actual complex operating conditions, accurate calculation core losses soft composites (SMC) is complicated. First, this paper improves existing SMC model by introducing a correction factor correct hysteresis loss coefficient so that can consider local variation characteristics density waveform and then calculate different harmonic excitation. Then, influence skin inhomogeneous flux within ring sample analyzed. Finally,...

10.3233/jae-220280 article EN International Journal of Applied Electromagnetics and Mechanics 2023-04-14

This paper presents a new MMC-LCC DC converter, including the topology structure, operating principle, basic control strategy and economic analysis. converter adopts multiple modular capacitors between transformer valves of conventional LCC topology. The are switched on to provide auxiliary commutation voltage help commutate before natural point in rectifier or after ending inverter, off procedure, achieving no reactive power consumption even generation. comparison other topologies is...

10.1109/ichve49031.2020.9279765 article EN 2020-09-06
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