Jui-Min Tsai
Papers
1
Total Citations
32
H-Index
1
About
Jui-Min Tsai is a researcher specializing in precision engineering and advanced manufacturing, with a particular focus on machine tool condition monitoring and MEMS-based sensing technologies. Their most-cited work, "Realization and performance evaluation of a machine tool vibration monitoring module by multiple MEMS accelerometer integrations" (2021, 32 citations), demonstrates a key contribution: the development of a cost-effective, multi-sensor vibration monitoring module that integrates multiple MEMS accelerometers to enhance the accuracy and reliability of machine tool health diagnostics. This work addresses critical challenges in predictive maintenance, enabling real-time detection of tool wear and structural anomalies without the high cost of traditional sensors. Tsai’s research has practical implications for smart manufacturing, helping to reduce downtime and improve machining precision. With 32 citations, this paper reflects growing interest in low-cost, scalable monitoring solutions for Industry 4.0 applications. Tsai’s work bridges the gap between sensor integration and industrial performance, offering a pathway toward more intelligent and autonomous manufacturing systems. Their contributions are particularly valuable for researchers and engineers seeking to implement robust, real-time condition monitoring in production environments.
Research Focus
Key Achievements
Top Papers
- 1