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

An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Mitigation in Adjustable Speed Drives
An Intelligent Controller Based Shunt Hybrid Filter for Harmonic Mitigation in Adjustable Speed Drives
Process Monitoring & Control of Ultra Precision Machining of Ti6 Al4 V Alloys
Process Monitoring & Control of Ultra Precision Machining of Ti6 Al4 V Alloys
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
Design and Evaluation of DRFM Mitigation System
Design and Evaluation of DRFM Mitigation System
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Admissions Apply Now