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

Automating Anxiety Detection using Respiratory Signal Analysis
Automating Anxiety Detection using Respiratory Signal Analysis
Predictive Modeling of Complex IT systems
Predictive Modeling of Complex IT systems
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Impacts of recent El-Nino Southern Oscillation (ENSO) on the Water-Food-Energy Nexus in South Asia (Indian PI)
Impacts of recent El-Nino Southern Oscillation (ENSO) on the Water-Food-Energy Nexus in South Asia (Indian PI)
Electrodeposition of Aluminium-Lithium Alloys for Cryo and Space Applications
Electrodeposition of Aluminium-Lithium Alloys for Cryo and Space Applications
Admissions Apply Now