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

Development of an Epidemiological Model to Modify Cardiovascular Risk Profile in Children
Development of an Epidemiological Model to Modify Cardiovascular Risk Profile in Children
An automated system to mitigate loss of life at unmanned level crossings
An automated system to mitigate loss of life at unmanned level crossings
Identification of Natural Product Lead molecules as Potential Modulators of Wound Healing and Elucidation of the underlying Molecular Mechanisms
Identification of Natural Product Lead molecules as Potential Modulators of Wound Healing and Elucidation of the underlying Molecular Mechanisms
RF Digital Twin for Wireless Maritime Communication Channel and Pathloss Modeling for fishing vessel LR WiFi networks
RF Digital Twin for Wireless Maritime Communication Channel and Pathloss Modeling for fishing vessel LR WiFi networks
Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim
Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim
Admissions Apply Now