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

Machine Fault Identification : A Unified Approach
Machine Fault Identification : A Unified Approach
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
VLSI architecture for Reliability based soft decision decoding of turbo codes for satellite communication
VLSI architecture for Reliability based soft decision decoding of turbo codes for satellite communication
Online Testing of IC Engines
Online Testing of IC Engines
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
Admissions Apply Now