Kangshuang Sun

ORCID: 0000-0002-6854-9628
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About
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Research Areas
  • Advanced Computational Techniques and Applications
  • Metallic Glasses and Amorphous Alloys
  • Image Processing Techniques and Applications
  • Engineering Diagnostics and Reliability
  • VLSI and Analog Circuit Testing
  • Fault Detection and Control Systems
  • Glass properties and applications
  • Mineralogy and Gemology Studies
  • Industrial Vision Systems and Defect Detection

Shanghai University
2025

Shanghai Research Institute of Materials
2025

Leibniz Institute for Solid State and Materials Research
2025

Henan Polytechnic University
2023

University of Chinese Academy of Sciences
2023

Institute of Microelectronics
2023

Flash-annealing (FA) of metallic glasses (MGs) allows one to modulate their disordered structure. Here, we have flash-annealed a CuZr-based MG below the glass transition temperature at different cycles and generated MGs with various heterogeneous structures. We quantified glassy structure via relaxation enthalpy, ΔrelH, which did not significantly change for low number cycles. Their hardness monotonically reduced. However, when more than ten FA were applied, perceivably decreased, while...

10.1063/5.0245102 article EN Applied Physics Letters 2025-01-13

Analog to Digital Converter (ADC) chip test generates a data set including several dynamic parameters at various frequency. It is challenge obtained its quality quantitatively from due high dimension and units. This paper develops method named quality-spectrum analyzing ADC characteristics using set. displays all variation of on one picture. Meanwhile, the relationship among these could be quantatitived through three viewpoints which chip, parameter First, define classifier rule according...

10.1049/icp.2022.2841 article EN IET conference proceedings. 2023-01-13

To address the accurate detection of rotor unbalance faults, this paper proposes a new fault diagnosis method based on Wavelet Kernel Network(WKN). Firstly, experiments are implemented vibration test rig. Different weight blocks installed to obtain faults associaated with different severity levels. Secondly, unbalanced data is divided into training dataset and testing dataset, corresponding Network model dataset. Finally, diagnostic validated results demonstrate that it can identify degrees...

10.1109/sgee60678.2023.10481523 article EN 2023-11-24
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