Back close
Admissions

Machine Fault Identification : A Unified Approach

Start Date: Wednesday, Jan 01,2014

End Date: Sunday, Dec 31,2017

School: School of Engineering, Coimbatore

Project Incharge:Dr. K. I. Ramachandran
Co-Project Incharge:Dr. Santhosh Kumar C.
Funded by:DST
Machine Fault Identification : A Unified Approach

The project titled “Machine Fault Identification : A Unified Approach” is funded by DST. Dr. K. I. Ramachandran, Dr. C. Santhosh Kumar are the investigators of the project.

Related Projects

Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Multi-stimuli Responsive Polymeric Vehicle for Programmed Delivery of Chemotherapeutics to the Cancers
Deep Learning of Generic Features for Vision
Deep Learning of Generic Features for Vision
Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Development of a Hybrid Inverted Pendulum on wheels and Hopper based Dual Locomotion Assistive Robot
Development of a Hybrid Inverted Pendulum on wheels and Hopper based Dual Locomotion Assistive Robot
Admissions Apply Now