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

Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
Modeling of Deformation in Machining Processes
Modeling of Deformation in Machining Processes
Development of Ultra High Temperature Resistance Polymeric Nano Composite for Long Distance Space Applications
Development of Ultra High Temperature Resistance Polymeric Nano Composite for Long Distance Space Applications
Shape Optimization of Optical Structures
Shape Optimization of Optical Structures
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
Admissions Apply Now