Zhongyong Liu

ORCID: 0000-0002-9740-2692
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About
Contact & Profiles
Research Areas
  • Fuel Cells and Related Materials
  • Advanced Battery Technologies Research
  • Electrocatalysts for Energy Conversion
  • Fault Detection and Control Systems
  • Orbital Angular Momentum in Optics
  • Optical Systems and Laser Technology
  • Coal Properties and Utilization
  • Advanced battery technologies research
  • Photonic and Optical Devices
  • Laser-Matter Interactions and Applications
  • Fire dynamics and safety research
  • Advancements in Semiconductor Devices and Circuit Design
  • Advanced optical system design
  • Advanced Memory and Neural Computing
  • Semiconductor Lasers and Optical Devices
  • Machine Fault Diagnosis Techniques
  • Laser Design and Applications
  • Optical Network Technologies
  • Mathematical Analysis and Transform Methods
  • Advanced Optical Sensing Technologies
  • Photonic Crystal and Fiber Optics
  • Membrane-based Ion Separation Techniques
  • Quality Function Deployment in Product Design
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Optical and Acousto-Optic Technologies

University of Science and Technology of China
2020-2025

Freedom Photonics (United States)
2024

Chongqing University
2021-2023

Air Force Engineering University
2018

Henan University of Traditional Chinese Medicine
2011

Shanghai Institute of Optics and Fine Mechanics
1998-1999

Sichuan University
1995-1996

Laser Research Institute
1996

10.1016/j.ijhydene.2022.07.228 article EN International Journal of Hydrogen Energy 2022-08-23

Proton-exchange membrane fuel cells (PEMFCs) hold promise as next-generation energy sources. However, PEMFCs experience substantial faults with various degradation mechanisms during electrochemical operation, leading to performance heterogeneity. In this work, we use magnetic field imaging an online and non-destructive tool sense the heterogeneity of a PEMFC its operation. The correlation between variation is established, followed by numerical models experimental validation at different...

10.1016/j.xcrp.2022.101083 article EN cc-by-nc-nd Cell Reports Physical Science 2022-10-01

Abstract The propagation properties of the pulsed zeroth-order Bessel beams are discussed. It is shown that, as a result non-diffracting property function on propagation, corresponding may propagate with some special characteristics, and an example time Gaussian-shaped considered. We find for this type beam, spectral intensity pulse energy will always remain unchanged when through free space, while temporal shape change distance.

10.1080/09500349808231665 article EN Journal of Modern Optics 1998-01-01

Considering the fact that various features can be used in proton exchange membrane fuel cell (PEMFC) fault diagnosis, while lack of feature evaluation method brings great difficulty selecting appropriate at practical PEMFC applications, a generalized and selection is urgently required diagnosis. This article proposes novel method, where discrimination capacity robustness are evaluated. With proposed providing accurate consistent diagnostic performance determined. In this study, widely...

10.1109/tie.2021.3078395 article EN IEEE Transactions on Industrial Electronics 2021-05-13

In existing proton exchange membrane fuel cell (PEMFC) applications, improper water management will cause PEMFC performance decay, which restricts the reliability and durability of systems. Therefore, diagnosing content in is key to taking appropriate mitigations guarantee its operating safety. This paper proposes a novel approach for using two-dimensional convolutional neural network (2D-CNN). analysis, collected voltage signal transformed into 2D image data, then used train 2D-CNN. Data...

10.3390/en15124247 article EN cc-by Energies 2022-06-09

Something like normal functionality of tools in a manufacturing process is typically designed to ensure reliability, where fast and accurate identification tool abnormal operation plays vital role intelligent manufacturing. In this study, novel method proposed assess the cutting condition, which consists convolutional neural network with wider first-layer kernels (W-CONV), long short-term memory (LSTM). The analysis benefits from use output power signals tool, since they can be obtained...

10.1155/2020/8843314 article EN cc-by Shock and Vibration 2020-11-23

Abstract The significance of high-voltage shunt reactors (HVSRs) in ensuring the reliability power grids is widely acknowledged. Nevertheless, persistent mechanical vibrations experienced by HVSR can loosen vital components such as windings, iron cores, and bolt fasteners. If loose fault cannot be detected mitigated timely, vibration will further aggravated, which tends to cause additional detects overheating discharge, even fire disasters. Therefore, it essential diagnose faults reactors....

10.1088/1742-6596/2656/1/012017 article EN Journal of Physics Conference Series 2023-12-01
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