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

Indoor Information Representation and Management System
Indoor Information Representation and Management System
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
Understanding Impacts of El-Nino events on the Indian Agricultural Productivity (CoPI)
Understanding Impacts of El-Nino events on the Indian Agricultural Productivity (CoPI)
Design and Synthesis of Donor-Acceptor Architectures for Novel Optical Materials
Design and Synthesis of Donor-Acceptor Architectures for Novel Optical Materials
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Admissions Apply Now