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 Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Development of Methodologies for Detection of Digital Contents Plagiarism
Development of Methodologies for Detection of Digital Contents Plagiarism
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Hybrid Composite for Aviation, Space and Defence Applications
Hybrid Composite for Aviation, Space and Defence Applications
Robust Features for Speaker Verification
Robust Features for Speaker Verification
Admissions Apply Now