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

Secured Data Acquisition and Transmission System for Data Center (SDATS)
Secured Data Acquisition and Transmission System for Data Center (SDATS)
Total coloring conjecture for certain classes of graphs
Total coloring conjecture for certain classes of graphs
Development of High-Performance Polyamides from Renewable Natural Source (Cardanol)
Development of High-Performance Polyamides from Renewable Natural Source (Cardanol)
5-Bus Power System: A Compact Digital Twin Model
5-Bus Power System: A Compact Digital Twin Model
Small Molecular Theranostic for Selective Molecular Imaging and Targeted Delivery of Chemotherapeutics to the Tumors
Small Molecular Theranostic for Selective Molecular Imaging and Targeted Delivery of Chemotherapeutics to the Tumors
Admissions Apply Now