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

Automating Anxiety Detection using Respiratory Signal Analysis
Automating Anxiety Detection using Respiratory Signal Analysis
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Technology for Sustainable Livelihoods
Technology for Sustainable Livelihoods
Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Admissions Apply Now