Wang Ji-feng

Shanghai Institute of Quality Inspection and Technical Research, Chongqing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Wang Ji-feng is a leading researcher in intelligent manufacturing and sensor fusion, with a focus on advancing welding process monitoring and mobile robotics. His seminal work on Gas Tungsten Arc Welding (GTAW) introduced a groundbreaking approach to penetration state prediction by integrating wavelet analysis with hidden Markov models (HMM). This method, detailed in his most-cited paper (2013, 11 citations), enables real-time, dynamic modeling of arc sound signals—a critical step toward automated, high-quality welding. By extracting multi-scale features from acoustic data, Wang demonstrated how HMMs can capture temporal dependencies in welding processes, offering a robust alternative to traditional visual or thermal monitoring. In parallel, his earlier work on mobile robot range measurement (2005, 2 citations) pioneered a hybrid sonar-laser scanner fusion technique, overcoming the limitations of single-sensor systems in complex environments. This innovation improved distance accuracy for autonomous navigation, laying groundwork for multi-sensor integration in robotics. Wang’s contributions bridge signal processing, machine learning, and industrial automation, with his GTAW model cited as a key reference for non-destructive quality control. His research continues to influence adaptive welding systems and intelligent robotic perception, marking him as a notable figure in manufacturing technology.