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

Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
Transforming Global Health through Computational Cookstove Design
Transforming Global Health through Computational Cookstove Design
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 Investigation on Structural Integrity Assessment of Dome Shaped Roof Slab of future SFRs
Experimental Investigation on Structural Integrity Assessment of Dome Shaped Roof Slab of future SFRs
Admissions Apply Now