Papers
1
Total Citations
11
H-Index
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About
Xiguo Ren is a researcher specializing in the condition monitoring and fault diagnosis of permanent magnet synchronous motors (PMSMs), with a particular focus on rotor demagnetization detection. His work addresses a critical challenge in modern electric drive systems, where PMSMs are essential for applications ranging from trams and robotics to national defense. Ren’s most-cited paper, "On the Accuracy of Rotor Demagnetization Fault Detection in PMSM Using Vibration-Based Condition Indicators" (2021, 11 citations), introduces a novel vibration-based methodology for detecting and evaluating the severity of rotor magnet faults. This contribution is significant because early detection of demagnetization can prevent catastrophic motor failures, reduce downtime, and improve system reliability. By leveraging vibration signals as condition indicators, Ren’s research provides a non-invasive, cost-effective approach to fault monitoring, advancing the field of predictive maintenance. His work has been cited by peers exploring similar diagnostic techniques, underscoring its practical relevance. Ren’s focus on enhancing the accuracy and robustness of fault detection continues to influence the development of smarter, more resilient electric motor systems, making his research a valuable resource for engineers and researchers in power electronics and motor control.
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