Sushovan Mukherjee
Papers
1
Total Citations
8
H-Index
1
About
Sushovan Mukherjee is a researcher whose work lies at the intersection of optical sensing, signal processing, and industrial diagnostics. His primary research area focuses on non-contact vibration analysis—a critical methodology for assessing the health of factory machinery. Mukherjee’s most notable contribution is the development of a framework for at-a-distance visual estimation of high-frequency machine vibrations using low-frame-rate cameras, as detailed in his highly cited 2018 paper, “Analysing Multi-Point Multi-Frequency Machine Vibrations using Optical Sampling.” This work, which has garnered 8 citations, proposes an unobtrusive optical sampling technique that enables multi-point, multi-frequency analysis without the need for expensive, high-speed sensors. By leveraging ordinary cameras, Mukherjee’s approach makes vibration monitoring more accessible and practical for industrial settings, potentially reducing downtime and maintenance costs. His research bridges the gap between computer vision and mechanical engineering, offering a cost-effective solution for real-time machinery health assessment. Mukherjee’s work stands out for its innovative use of optical sampling to overcome the limitations of traditional contact-based sensors, marking a significant step forward in predictive maintenance and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1