Huanze Liu

M.S. Candidate in Mechanical Engineering, Huazhong University of Science and Technology

Interests

Non-destructive Testing Magnetic Flux Leakage Embedded System Design FPGA Verilog Hardware Circuit Design Mechatronic System Control Brushless Motor Control C Language Host-Computer Software Digital Signal Processing Python AI Agent Linux

Works

Huanze Liu, Lingsi Sun, Runyu Wang, Yiqing Zou, and Xinjun Wu, A novel broken wire localization method for bridge cables based on multi-component magnetic flux leakage testing, Journal of Magnetism and Magnetic Materials, vol. 641, p. 173817, 2026, doi: 10.1016/j.jmmm.2026.173817 [Read] [Download] [Link]
Huanze Liu, Lingsi Sun, Runyu Wang, and Xinjun Wu, Design and Application of a Scalable 3D Magnetic Flux Leakage Testing System Based on Parallel Acquisition, Science Technology and Engineering, no. 6, 2027. [Link]
Lingsi Sun, Wenlong Zhang, Huanze Liu, Runyu Wang, Shuyu Duan, Lijun Jiang, and Xinjun Wu, A quantitative evaluation method for broken wires in bridge cables using 3D spatially sampled magnetic flux leakage signals, NDT & E International, vol. 158, p. 103560, 2026, doi: 10.1016/j.ndteint.2025.103560 [Read] [Download] [Link]
Runyu Wang, Lingsi Sun, Huanze Liu, Lijun Jiang, and Xinjun Wu, A quantitative identification method for broken wires in bridge cables based on anisotropic 3D dilated convolutional neural networks, Chinese Journal of Scientific Instrument, vol. 47, no. 5, pp. 1-11, 2026, doi: 10.19650/j.cnki.cjsi.J2615068 [Download] [Link]
Development of a Magnetic Flux Leakage Detection System for Bridge Cables Based on Triaxial Hall Sensors, The 17th Specialized Conference on New Nondestructive Testing Technology (Oral), Harbin, 2025.07 [in Chinese]

Achievements

Successfully Crossed the Yangtze River
The 50th Wuhan July 16 Yangtze River Crossing Festival, 2025.07
Honorary Bachelor's Degree of Shandong University, 2024.06
First Prize (National-Level)
The 18th National Undergraduate Smart Car Race, 2023.08
First Prize (Provincial-level)
The 17th National Undergraduate Smart Car Race, 2022.07