Yu-Syong Guo

National Chin-Yi University of Technology

Papers

Total Citations

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About

Yu-Syong Guo is a researcher whose work centers on intelligent manufacturing and precision machining, with a particular focus on real-time monitoring and error compensation in industrial equipment. His most-cited paper, "Intelligent integrated monitoring system for lathe equipment" (2019), addresses a critical challenge in precision engineering: the thermal expansion error of spindles during prolonged operations. By developing an integrated monitoring system, Guo provides a practical solution to maintain machining accuracy and product quality in metal part production—a key concern for vendors in precision machine manufacturing. Though his citation count is currently modest, his contribution lies in bridging sensor-based monitoring with intelligent control to mitigate thermal-induced errors, a problem that directly impacts yield and reliability in high-precision industries. Guo’s work is notable for its applied focus, offering a tangible pathway to enhance stability in automated lathe operations. As manufacturing increasingly demands zero-defect production, his research lays foundational groundwork for smarter, more resilient machining systems, making him a promising voice in the field of industrial automation and precision engineering.