Zijing Zeng
Papers
1
Total Citations
4
H-Index
1
About
Zijing Zeng is a rising researcher in smart grid monitoring and partial discharge (PD) detection, with a focus on advancing direction-of-arrival (DOA) estimation techniques for substation inspection robots. Their key research areas include antenna array signal processing, electromagnetic signal localization, and intelligent insulation diagnostics. Zeng’s most notable contribution is the development of the Dir-MUSIC algorithm, which leverages signal strength represented by an antenna gain array manifold to enhance DOA estimation accuracy for PD sources. This work, published in 2022, addresses critical limitations of conventional beamforming and time difference of arrival (TDOA) methods, which require large sensor arrays and suffer from poor resolution in complex substation environments. With 4 citations in a short time, the paper has already attracted attention from peers working on non-invasive insulation monitoring. Zeng’s research directly supports the reliability of smart grids by enabling more precise localization of insulation faults, a key step toward predictive maintenance. As an emerging voice in applied electromagnetics and sensor fusion, Zeng is paving the way for more autonomous, data-driven inspection systems in high-voltage infrastructure.
Research Focus
Key Achievements
Top Papers
- 1