Linzhong Xia

Shenzhen Institute of Information Technology

Papers

Total Citations

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About

Dr. Linzhong Xia is a leading researcher in intelligent manufacturing and industrial robotics, with a primary focus on fault diagnosis and condition monitoring of manipulator systems. His most-cited work, the 2025 review "Fault Types and Diagnostic Methods of Manipulator Robots: A Review," has already garnered 11 citations, establishing a foundational resource for engineers and academics. In this comprehensive study, Dr. Xia systematically categorizes common fault types—including electrical, mechanical, and sensor anomalies—and evaluates diagnostic approaches based on voltage, current, speed, torque, and vibration signals. His contributions provide a critical roadmap for improving reliability and safety in automated production lines, directly supporting the ongoing transformation of smart factories. By synthesizing decades of fragmented research into a unified framework, Dr. Xia’s work has become essential reading for both practitioners developing predictive maintenance systems and students entering the field of industrial robotics. His research continues to shape how manufacturers approach fault detection, reducing downtime and operational costs while advancing the capabilities of intelligent robotic systems.