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

Film Cooling in Semi-cryogenic Rocket Engines
Film Cooling in Semi-cryogenic Rocket Engines
Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Durability of High Performance Nano Adhesive Bonding of Aluminium under Aerospace Environments
Design and Testing of an Optimized Vertical Axis Wind Turbine for Low Wind Speeds
Design and Testing of an Optimized Vertical Axis Wind Turbine for Low Wind Speeds
Study of Waste Management Practices and Impact on Rural Ecosystems
Study of Waste Management Practices and Impact on Rural Ecosystems
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
Admissions Apply Now