Shuangshuang Wei

Papers

Total Citations

H-Index

About

Dr. Shuangshuang Wei is a leading researcher at the intersection of robotics and intelligent power systems, with a primary focus on advancing substation automation through deep learning and dynamic control algorithms. Her work addresses critical challenges in modernizing the electrical grid, specifically by replacing inefficient manual inspections with autonomous robotic solutions. Dr. Wei’s most influential contribution, "Design of Deep Learning Algorithm in the Control System of Intelligent Inspection Robot of Substation" (6 citations), pioneers the integration of neural networks into robotic control, enabling real-time, adaptive monitoring of substation equipment. She further refined this approach in "Dynamic Inspection Algorithm Based on Substation Inspection Robot" (3 citations), which overcomes the limitations of traditional static methods by introducing an efficient, energy-conscious dynamic inspection framework. Together, these works establish a foundational methodology for enhancing grid safety and operational intelligence. Dr. Wei’s research is particularly notable for its practical impact, directly addressing the industry’s need for scalable, automated inspection systems. Her contributions are essential reading for engineers and researchers developing next-generation robotics for critical infrastructure, positioning her as a key innovator in the smart grid and industrial automation domains.