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

Study on Rural Water Management for Irrigation
Study on Rural Water Management for Irrigation
Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
Design of Low Weight Shaped Beam Reflector Antenna with Integral IFF and SLB Antenna
Small Molecular Reactive Fluorescent Probes for Detection of Cellular Unusual Entities and Bio-imaging
Small Molecular Reactive Fluorescent Probes for Detection of Cellular Unusual Entities and Bio-imaging
BAJA SAE AUBURN
BAJA SAE AUBURN
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