Back close
Admissions

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. Ramachandran, Dr. C. Santhosh Kumar are the investigators of the project.

Related Projects

Technology for Sustainable Livelihoods
Technology for Sustainable Livelihoods
IoT-Based Humidity and Temperature Monitoring System for Improved Mushroom Farming
IoT-Based Humidity and Temperature Monitoring System for Improved Mushroom Farming
Development of Source Code Methodologies – Plagiarism Detection Engine
Development of Source Code Methodologies – Plagiarism Detection Engine
Deep Learning of Generic Features for Vision
Deep Learning of Generic Features for Vision
Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Admissions Apply Now