Back close
Admissions

Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis

Start Date: Thursday, Sep 01,2016

School: School of Engineering, Coimbatore

Project Incharge:DRDO (ER & IPR)
Co-Project Incharge:Dr. K. I. Ramachandran, Dr. Ramesh Kumar K., Dr. Krishna Kumar P.
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis

The project titled Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis, is funded by DRDO (ER & IPR). The investigators of project are Dr. M. Saimurugan, Dr. K. I. Ramachandran, Dr. K. Rameshkumar and P. Krishnakumar.

Related Projects

Development of Source Code Methodologies – Plagiarism Detection Engine
Development of Source Code Methodologies – Plagiarism Detection Engine
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
A study on the utilization of student welfare schemes offered by Government of Tamilnadu in Coimbatore district
A study on the utilization of student welfare schemes offered by Government of Tamilnadu in Coimbatore district
Automating Anxiety Detection using Respiratory Signal Analysis
Automating Anxiety Detection using Respiratory Signal Analysis
Design of a Compact and High Efficient Rectenna for RF Energy Harvesting
Design of a Compact and High Efficient Rectenna for RF Energy Harvesting
Admissions Apply Now