Zhizhou Sun

Papers

Total Citations

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About

Zhizhou Sun is a leading researcher in the field of intelligent power system automation, with a primary focus on robotic inspection technologies for substations. His work centers on developing specialized robots and algorithms to enhance the safety, reliability, and efficiency of equipment monitoring in critical power infrastructure. Sun’s major contributions include pioneering the design and application of rail-type inspection robots for indoor substation rooms, addressing a gap left by outdoor robots. He has also advanced equipment failure detection methods using sensor data from tunnel robots, enabling proactive maintenance. In the domain of human-robot interaction, Sun developed an improved Dynamic Time Warping (DTW) algorithm for speech recognition in substation inspection robots, facilitating more intuitive operator control. His most cited paper, “Equipment Failure Detection Method of Substation Based on Tunnel Robot” (2020), has garnered 13 citations, reflecting its practical impact. With additional influential works from 2017 and 2019, Sun’s research is instrumental in modernizing substation inspection, reducing human risk, and ensuring continuous power supply security.