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

Non-Invasive Multimodal Elephant early warning system
Non-Invasive Multimodal Elephant early warning system
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
Autonomous Guidance System for Visually Impaired in a Library
Autonomous Guidance System for Visually Impaired in a Library
Feasibility Study on Coastal Reservoir Concept to Impound Netravati River Flood Waters : A Sustainable Strategy for Water Resource Development
Feasibility Study on Coastal Reservoir Concept to Impound Netravati River Flood Waters : A Sustainable Strategy for Water Resource Development
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Development of Entropy alloys and detemination of their Mechanical Properties including Hardness and wear rate
Admissions Apply Now