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

Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Fabrication of a Lab-on-a-Chip Device for the Point of Care Testing of Hemoglobin
Fabrication of a Lab-on-a-Chip Device for the Point of Care Testing of Hemoglobin
A study on the utilization of student welfare schemes offered by Government of Tamilnadu in Coimbatore district
A study on the utilization of student welfare schemes offered by Government of Tamilnadu in Coimbatore district
Development of High-Performance Polyamides from Renewable Natural Source (Cardanol)
Development of High-Performance Polyamides from Renewable Natural Source (Cardanol)
Analysis of Throat Film Cooling for Semi Cryogenic Thrust Chamber
Analysis of Throat Film Cooling for Semi Cryogenic Thrust Chamber
Admissions Apply Now