P. Ramesh
Papers
1
Total Citations
16
H-Index
1
About
Dr. P. Ramesh is a leading researcher in industrial automation and predictive maintenance, with a focus on the practical deployment of Industry 4.0 technologies in challenging environments. His most-cited work, “Implementation of Predictive Maintenance Systems in Remotely Located Process Plants under Industry 4.0 Scenario” (2019, 16 citations), addresses a critical gap in smart manufacturing: how to apply data-driven maintenance strategies to geographically isolated facilities with limited connectivity. By developing a framework that integrates edge computing, sensor networks, and machine learning, Ramesh’s research enables real-time fault detection and equipment health monitoring without relying on constant cloud access. This contribution has direct implications for reducing downtime and operational costs in the oil, gas, and mining sectors. His work is widely referenced by engineers and academics seeking scalable, resilient solutions for industrial IoT. Ramesh’s research stands out for its emphasis on real-world constraints, bridging the gap between theoretical Industry 4.0 concepts and field-deployable systems. His ongoing efforts continue to shape the future of autonomous, data-driven plant operations.
Research Focus
Key Achievements
Top Papers
- 1