Back close

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)
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

MiG Aircraft and Kamov Helicopter
MiG Aircraft and Kamov Helicopter
Ethylene Propylene Diene Monomer (EPDM) Rubber based Nanocomposites for Application in Corrosive and Radiation Environments
Ethylene Propylene Diene Monomer (EPDM) Rubber based Nanocomposites for Application in Corrosive and Radiation Environments
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
Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Tri-Band Microstrip Patch Antenna for GPS Application
Tri-Band Microstrip Patch Antenna for GPS Application
Admissions Apply Now