Back close
Admissions

Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models

Start Date: Sunday, Jan 01,2017

End Date: Sunday, Dec 31,2017

Project Incharge:Dr. Saimurugan M.
Co-Project Incharge:Dr. K. I. Ramachandran, Dr. Ramesh Kumar K., Dr. Krishna Kumar P.
Funded by:DST
Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models

The project titled “Rotating Machine Degradation Monitoring based on Multi Sensor Signal Fusion using Deep Learning Models“, is funded by DST. The investigators of the project are Dr. M. Saimurugan, Dr. K. I. Ramachandran, Dr. K. Rameshkumar, Dr. P. Krishnakumar.

Related Projects

The Discovery of MicroRNAs (miRNAs) that Regulate the Expression of Gelatinase A (Matrix metalloproteinase-2/MMP-2) and B (Matrix metalloproteinase-9/MMP-9) in Colon Cancer Cells
The Discovery of MicroRNAs (miRNAs) that Regulate the Expression of Gelatinase A (Matrix metalloproteinase-2/MMP-2) and B (Matrix metalloproteinase-9/MMP-9) in Colon Cancer Cells
Development of a Triple Level Distributed Control for Demand Response Management, Intelligent Scheduling of Loads and Optimized Choices in Electricity Bidding for a Smart Microgrid
Development of a Triple Level Distributed Control for Demand Response Management, Intelligent Scheduling of Loads and Optimized Choices in Electricity Bidding for a Smart Microgrid
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Women’s Self Help Groups to Provide Public Health, Social, & Economic Interventions
Women’s Self Help Groups to Provide Public Health, Social, & Economic Interventions
40 plus- A Paper-based Microfluidic Chip for the Monitoring of Women’s Health After 40
40 plus- A Paper-based Microfluidic Chip for the Monitoring of Women’s Health After 40
Admissions Apply Now