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 and Scale-Up of Plunging Hollow Jet, Venturi and Sudden Expansion Type Aerators
Development and Scale-Up of Plunging Hollow Jet, Venturi and Sudden Expansion Type Aerators
Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Investigation of compatibility between portland pozzolana cement and admixtures in high performance concrete
Investigation of compatibility between portland pozzolana cement and admixtures in high performance concrete
Admissions Apply Now