Yueqi Qiao
Papers
1
Total Citations
1
H-Index
1
About
Yueqi Qiao is a researcher specializing in mechanical fault diagnosis and condition monitoring, with a particular focus on precision transmission systems. Their most-cited work, "Research on Local Fault Diagnosis of Rotary Vector Reducer Based on Motor Current Signature Analysis" (2024), addresses a critical challenge in industrial robotics and high-precision machinery: detecting local faults in rotary vector (RV) reducers. These components are essential for accurate motion control, and their failure can cause severe operational hazards. Qiao’s contribution lies in applying motor current signature analysis—a non-invasive, cost-effective technique—to identify subtle fault signatures without requiring additional sensors. This approach enhances the feasibility of real-time performance monitoring in complex mechanical systems. While the paper has garnered 1 citation to date, its practical relevance to predictive maintenance and reliability engineering is significant. Qiao’s work bridges the gap between theoretical fault diagnosis and industrial application, offering a pathway to safer, more efficient automation. Their research is particularly valuable for students and engineers working on smart manufacturing, robotics, and advanced drivetrain diagnostics, where early fault detection can prevent costly downtime and equipment damage.
Research Focus
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Top Papers
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