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

Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Strengthen child protection system and structures to deliver preventive and responsive child protection service in Tamilnadu and Keralam
Strengthen child protection system and structures to deliver preventive and responsive child protection service in Tamilnadu and Keralam
Development of a method to Control Ultraviolet Radiation in welding Processes
Development of a method to Control Ultraviolet Radiation in welding Processes
Development of Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Development of Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Admissions Apply Now