Kaisong Wang

Anhui University of Science and Technology

Papers

Total Citations

H-Index

About

Kaisong Wang’s research bridges precision mechanical fault diagnosis, intelligent industrial robotics, and advanced manufacturing systems. A central contribution is the development of an instantaneous phase detection technique using laser displacement sensors and eccentric modulation, specifically applied to spur gear fault diagnosis in rotation vector (RV) reducers—critical components in industrial robots. This work, published in 2022 (6 citations), offers a non-contact, high-accuracy method to detect subtle gear faults, directly improving robot reliability and maintenance. Wang also designed a virtual assembly platform for the CFETR peg hole assembly (2023, 5 citations), contributing to China’s fusion engineering program. In the mining domain, Wang proposed a multi-objective scheduling strategy for mine transportation robots under three-dimensional loading constraints (2023, 4 citations), addressing low distribution efficiency and high labor intensity in underground coal mines. These contributions demonstrate Wang’s versatility across mechanical, robotic, and energy systems, with a clear focus on real-world industrial challenges. Though early in citation accumulation, the work’s practical relevance—from fusion reactors to mining automation—signals strong potential for sustained impact in precision engineering and intelligent manufacturing.