Haedong Jeong
Papers
1
Total Citations
9
H-Index
1
About
Haedong Jeong is a researcher specializing in predictive maintenance, system degradation assessment, and accelerated life testing for electromechanical systems. His work focuses on developing model-based methodologies to assess the health and remaining useful life of critical industrial components, particularly servo motors. In his most-cited study, "Experimental study on the life prediction of servo motors through model-based system degradation assessment and accelerated degradation testing" (2018), Jeong introduced a novel framework that combines physics-based degradation models with accelerated testing data to improve the accuracy of life prediction for servo motors. This contribution is vital for enhancing reliability and reducing downtime in automated manufacturing and robotics. With 9 citations, this paper has influenced subsequent research in condition-based maintenance and prognostics. Jeong’s approach bridges experimental validation with theoretical modeling, offering practical tools for engineers seeking to optimize maintenance schedules and extend equipment lifespan. His work underscores the importance of integrating degradation testing with real-time monitoring, making him a notable contributor to the field of industrial system reliability.
Research Focus
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Top Papers
- 1