Bingshu Chen
Papers
1
Total Citations
4
H-Index
1
About
Bingshu Chen is a leading researcher in smart grid monitoring and partial discharge (PD) detection, with a focus on advancing inspection robotics and signal processing for substation diagnostics. His most cited work introduces the Dir-MUSIC algorithm, a novel approach for direction of arrival (DOA) estimation of PD signals. By leveraging antenna gain array manifolds to represent signal strength, Chen overcomes the limitations of conventional beamforming and time difference of arrival (TDOA) methods, which demand large antenna arrays and suffer from low accuracy in noisy environments. This contribution significantly enhances the ability of inspection robots to localize insulation faults in real time, improving substation safety and reliability. With 4 citations, his 2022 paper is gaining traction among researchers in smart grid and sensor array processing. Chen’s work stands out for its practical integration of robotics and electromagnetic theory, offering a scalable solution for automated PD monitoring. His research continues to influence the development of intelligent diagnostic tools for critical power infrastructure.
Research Focus
Key Achievements
Top Papers
- 1