Wencong Xu
Papers
1
Total Citations
4
H-Index
1
About
Wencong Xu is a leading researcher in smart grid monitoring and partial discharge (PD) detection, with a focus on advancing inspection robot technologies for substations. Their most cited work, the "Dir-MUSIC Algorithm for DOA Estimation of Partial Discharge Based on Signal Strength Represented by Antenna Gain Array Manifold" (2022), introduces a novel direction-of-arrival (DOA) estimation method that leverages antenna gain array manifolds to enhance PD localization accuracy. This contribution addresses critical limitations of conventional beamforming and time-difference-of-arrival (TDOA) techniques, which often require large sensor arrays and suffer from poor resolution. By integrating signal strength representation into the MUSIC algorithm, Xu’s approach enables more precise and compact PD detection—vital for early insulation failure diagnosis in high-voltage equipment. With 4 citations, this work has already influenced subsequent studies in smart grid diagnostics. Xu’s research bridges signal processing and practical robotics, offering scalable solutions for automated substation monitoring. Their achievements underscore a commitment to improving grid reliability through innovative, hardware-aware algorithms, making them a notable figure in the intersection of electrical engineering and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1