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

Expression of Recombinant Enzymes Against Enteric pathogens
Expression of Recombinant Enzymes Against Enteric pathogens
Impact Analysis of Teaching Methodology, Health, & Social Awareness
Impact Analysis of Teaching Methodology, Health, & Social Awareness
Establishment of Community Covid Resilience Resource Centers (CRRC)
Establishment of Community Covid Resilience Resource Centers (CRRC)
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
Centres for Antimicrobial Optimisation Network (CAMO-NET) Optimising Antimicrobial Use To Address The Global Challenge of Antimicrobial Resistance
Centres for Antimicrobial Optimisation Network (CAMO-NET) Optimising Antimicrobial Use To Address The Global Challenge of Antimicrobial Resistance
Admissions Apply Now