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

Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Pervasive Framework for Smart Hospitals
Pervasive Framework for Smart Hospitals
Analysis of Seepage Induced Soil Mass Movements and Stabilization using Vertical Sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using Vertical Sand Drains
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
Design and Synthesis of Donor-Acceptor Architectures for Novel Optical Materials
Design and Synthesis of Donor-Acceptor Architectures for Novel Optical Materials
Admissions Apply Now