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

Unifying the design of Heterogeneous Systems
Unifying the design of Heterogeneous Systems
Development of Functionally-Graded Aluminium Metal Matrix Composites and to Investigate the Mechanical and Tribological Properties
Development of Functionally-Graded Aluminium Metal Matrix Composites and to Investigate the Mechanical and Tribological Properties
Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district
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
Admissions Apply Now