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

Powertrain Technology – Emission Analyser for Euro VI (FIST – 2016)
Powertrain Technology – Emission Analyser for Euro VI (FIST – 2016)
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District
Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District
Deep Learning of Generic Features for Vision
Deep Learning of Generic Features for Vision
Shape Optimization of Optical Structures
Shape Optimization of Optical Structures
Admissions Apply Now