Indrani Bezbaruah
Papers
1
Total Citations
16
H-Index
1
About
Dr. Indrani Bezbaruah is a leading researcher at the intersection of industrial automation and data-driven maintenance, with a primary focus on predictive maintenance systems within the Industry 4.0 framework. Her most cited work, "Implementation of Predictive Maintenance Systems in Remotely Located Process Plants under Industry 4.0 Scenario" (2019, 16 citations), addresses a critical challenge in modern manufacturing: enabling real-time equipment monitoring and failure prediction for geographically isolated facilities. By integrating IoT sensors, machine learning algorithms, and cloud-based analytics, Dr. Bezbaruah’s research provides a scalable blueprint for reducing downtime and operational costs in remote process plants—a contribution that has shaped best practices in asset management. Her work is particularly notable for bridging the gap between theoretical Industry 4.0 concepts and practical, low-infrastructure deployments. With growing recognition in the industrial engineering community, Dr. Bezbaruah continues to advance smart maintenance solutions, making her a key voice in the digital transformation of manufacturing and energy sectors.
Research Focus
Key Achievements
Top Papers
- 1