Papers
1
Total Citations
8
H-Index
1
About
Pu Sun is a researcher at the forefront of intelligent fault detection and power electronics safety, with a particular focus on DC arc fault sensing in consumer electronics. His most cited work, "A DC Arc Fault Sensor With Leftover Gated Recurrent Neural Network in Consumer Electronics" (2023, 8 citations), introduces an innovative approach that combines recurrent neural networks with sensor technology to detect dangerous arc faults in systems powered by lithium batteries—such as sweeping robots, dining robots, and electric vehicles. This contribution addresses a critical safety challenge as consumer electronics increasingly rely on DC power sources. Sun’s research bridges artificial intelligence and electrical engineering, offering practical solutions for real-time hazard prevention. His work has been recognized for its potential to enhance the reliability and safety of next-generation smart devices. By integrating advanced machine learning with power system monitoring, Pu Sun is helping to shape a safer, more intelligent future for consumer electronics.
Research Focus
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Top Papers
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