Xiaowen Li

Papers

Total Citations

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About

Xiaowen Li is a researcher specializing in industrial robotics and cyber-physical systems, with a focus on intelligent condition monitoring and predictive maintenance. Her most cited work, "Research on industrial robot reducer state monitoring cloud platform" (2020), addresses critical challenges in modern manufacturing—namely, the complexity of robotic systems, massive failure data, and the demand for high stability and real-time control. In this study, Li proposed a novel cloud-based monitoring method grounded in cyber-physical theory, designing a system architecture that enables online, real-time state monitoring of industrial robot reducers. This contribution is vital for reducing downtime and improving operational efficiency in automated production lines. While her citation count is currently modest, her work represents an important step toward integrating cloud computing with industrial robotics for smarter, more resilient manufacturing ecosystems. Li’s research is particularly relevant for students and engineers interested in the intersection of IoT, big data analytics, and mechanical systems, offering practical solutions for the next generation of intelligent factories.