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

Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Study of Energy Harvesting SWIPT Enabled Wireless Networks
Study of Energy Harvesting SWIPT Enabled Wireless Networks
Development of Bimodal (MR/Optical) Smart MR Contrast Agent for Diagnosis
Development of Bimodal (MR/Optical) Smart MR Contrast Agent for Diagnosis
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Experimental and Numerical Investigation of flame stabilization in porous media burner for hydrocarbon-hydrogen fuels
Experimental and Numerical Investigation of flame stabilization in porous media burner for hydrocarbon-hydrogen fuels
Admissions Apply Now