Zhiqi Yu
Papers
1
Total Citations
2
H-Index
1
About
Zhiqi Yu is a researcher at the forefront of intelligent condition monitoring and fault diagnosis for mechanical systems, with a particular focus on precision components such as harmonic reducers. Their work integrates acoustic emission and micro-vibration sensing to assess performance degradation in critical industrial machinery. Yu’s most cited paper, "Towards Harmonic Reducer Performance Degradation Assessment Via Acoustic Emission and Micro-Vibration Information Fusion" (2025, 2 citations), introduces a novel multi-sensor fusion framework that enhances the reliability of early fault detection—a key challenge in robotics and aerospace applications. This contribution is notable for its practical approach to combining heterogeneous sensor data, offering a pathway toward predictive maintenance in high-precision systems. While still early in their career, Yu’s research demonstrates a clear impact on advancing non-destructive evaluation techniques, with potential to reduce downtime and extend equipment lifespan. Their work is particularly relevant for students and engineers interested in signal processing, sensor fusion, and the intersection of mechanical engineering with data-driven diagnostics.
Research Focus
Key Achievements
Top Papers
- 1