Back close

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. RamachandranDr. C. Santhosh Kumar are the investigators of the project.

Related Projects

Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Deep Learning of Generic Features for Vision
Deep Learning of Generic Features for Vision
Ethylene Propylene Diene Monomer (EPDM) Rubber based Nanocomposites for Application in Corrosive and Radiation Environments
Ethylene Propylene Diene Monomer (EPDM) Rubber based Nanocomposites for Application in Corrosive and Radiation Environments
3D Modelling from MRI Images
3D Modelling from MRI Images
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Admissions Apply Now