Wen-Shyan Chua

Papers

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About

Wen-Shyan Chua is a researcher specializing in fault diagnosis, estimation, and prognostics for industrial robotic systems and nonlinear dynamics. His work addresses critical challenges in maintaining the reliability and longevity of high-speed industrial robots, particularly focusing on backlash—the clearance between mating gears that degrades positioning accuracy over time. Chua’s most cited paper (2022, 11 citations) introduces a novel method for remaining useful life estimation using an unknown input observer to extract features from backlash-related wear, moving beyond traditional low-speed, laboratory-based approaches. Earlier, he developed a robust fault estimation scheme for nonlinear systems (2016, 10 citations), tackling the complex scenario where faults affect both state and output equations through unmeasurable nonlinear functions—a problem previously unsolved. This work provides a theoretical foundation for real-time fault detection in challenging operational environments. Chua’s contributions bridge theoretical control theory and practical industrial applications, offering tools that enhance predictive maintenance and system safety. His research is particularly valuable for engineers and researchers working on autonomous robotics, manufacturing automation, and condition monitoring, where early fault detection can prevent costly downtime and extend equipment lifespan.