Wenbin Wu

Dr. Wenbin Wu

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 December 2023 in Cognitive Computation
Verified
Journal Article
Closed access
PDF file
WWWenbin Wu
Wenbin Wu
SCSi-Bao Chen
Si-Bao Chen
CDChris Ding
Chris Ding
BLBin Luo
Bin Luo

8 June 2023 in Signal Processing
Verified
Journal Article
Closed access
WWWenbin Wu
Wenbin Wu
JSJun-Jun Sun
Jun-Jun Sun
SCSi-Bao Chen
Si-Bao Chen
CDChris Ding
Chris Ding
BLBin Luo
Bin Luo

25 June 2026 in Sensors
Verified
Journal Article
Open access
PDF file
ZLZimu Li
Zimu Li
LZLewen Zhang
Lewen Zhang
CZCheng Zuo
Cheng Zuo
JSJinhui Shi
Jinhui Shi
MFMing Fang
Ming Fang
HWHaibin Wu
Haibin Wu
Real-time, non-contact velocity measurement of hot-rolled bars is critical for metallurgical process control, but conventional laser Doppler velocimetry (LDV) systems often fail in these environments. The intense broadband thermal radiation from targets up to 1000 °C, coupled with severe surface depolarization, overwhelms weak scattered signals in high-speed (up to 40 m/s) rolling zones. To address this issue, we developed a fully integrated, thermal-radiation-resistant LDV sensing system. Hardware optimization was achieved by eliminating polarized-light transmission and adopting a parallel-beam design, which significantly enlarges the laser overlap area and increases detection depth. Furthermore, a 1550 nm laser (100 mW) was coaxially combined with a 10 nm narrow-band filter to isolate the thermal background and boost signal strength. A customized workflow utilizing continuous Fourier transform (CFT) spectral refinement and energy centroid estimation was implemented to precisely extract the true Doppler shift. Performance evaluations show the system achieves an excellent signal-to-noise ratio (SNR) of 29,532. Allan variance analysis confirms a stable detection sensitivity of 0.003 m/s (0.1 s integration time), a local short-to-medium-term optimal limit of 1.6 × 10−4 m/s, and a statistical accuracy of 0.005 m/s. Finally, the system was successfully deployed on an industrial rolling mill production line. It provided reliable velocity feedback for mill speed adjustment, achieving a near-zero-tension rolling process and fundamentally resolving workpiece dragging, squeezing, and steel pile-up.