Xiwang Cui

Beijing Information Science & Technology University

Papers

Total Citations

H-Index

About

Xiwang Cui is a leading researcher at the intersection of robotics, non-destructive testing, and deep learning, with a specialized focus on the intelligent inspection of power transformers. His pioneering work addresses the critical challenge of detecting internal insulation defects within large-scale electrical equipment. Dr. Cui’s most notable contribution is the design of a miniature patrol robot fish, an innovative platform that navigates the oil-filled interiors of transformers to perform visual inspections. By integrating deep learning algorithms, his system enables automated, real-time identification of pressboard insulation faults, a method detailed in his highly cited 2021 paper (16 citations). Complementing this visual capability, Dr. Cui has also advanced 3-D ultrasonic localization techniques for these robots, employing Empirical Mode Decomposition (EMD) and Phase Transform-beta (PHAT-β) algorithms to achieve precise positioning within the complex, confined environment (14 citations). His work represents a significant leap from traditional, offline inspection methods to autonomous, in-situ diagnostics, directly enhancing the reliability and safety of power grids. With a growing citation impact, Dr. Cui is establishing himself as a key innovator in intelligent infrastructure maintenance.