Zhengpei Jiang

Zhejiang Institute of Special Equipment Inspection

Papers

Total Citations

H-Index

About

Zhengpei Jiang is a researcher specializing in robotics, non-destructive testing (NDT), and intelligent defect recognition, with a particular focus on wall-climbing robots for industrial inspection. Their work addresses critical challenges in automated maintenance of pressure vessels, tanks, and pipelines—environments where precise navigation is essential but often compromised by slippage and orbital deviation. Jiang’s major contributions include the design of a laser-based calibration instrument that enhances robot positioning accuracy on curved surfaces, directly improving the reliability of defect detection tasks. They have also pioneered the integration of neural network technology into defect image recognition, enabling real-time analysis of magnetic particle testing results captured by wall-climbing robots equipped with visual sensors. This fusion of robotics and deep learning accelerates non-destructive testing processes while increasing detection accuracy. Although their most-cited papers currently hold 2 citations each, the practical significance of their work is evident in its direct application to industrial safety and maintenance efficiency. Jiang’s research bridges the gap between autonomous robotic navigation and intelligent visual inspection, offering promising solutions for safer, faster, and more reliable industrial asset management.