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

Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Technoeconomic Environmental Assessment of Greener Technologies for Road Transport and Power Generation to reduce Atmospheric Pollution and its Impact on Human Health In Delhi
Design and Synthesis of Organelle Specific Reactive Fluorescent Probes for Chemoselective Bioimaging
Design and Synthesis of Organelle Specific Reactive Fluorescent Probes for Chemoselective Bioimaging
Development of Spinodal bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of their Mechanical and Wear Properties
Development of Spinodal bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of their Mechanical and Wear Properties
Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)
Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)
Smart Water Management
Smart Water Management
Admissions Apply Now