Back close
Admissions

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)
Co-Project Incharge:Dr. K. I. Ramachandran, Dr. Ramesh Kumar K., Dr. Krishna Kumar P.
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

Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Statistical Semantic Networks for Concept and Document Relatedness
Statistical Semantic Networks for Concept and Document Relatedness
Water and Energy Saving Reliable Irrigation System (WatEr-ERIS): Solar Energy and Cloud-based Decision Support System for Automated Irrigation System (CoPI)
Water and Energy Saving Reliable Irrigation System (WatEr-ERIS): Solar Energy and Cloud-based Decision Support System for Automated Irrigation System (CoPI)
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Study of Waste Management Practices and Impact on Rural Ecosystems
Study of Waste Management Practices and Impact on Rural Ecosystems
Admissions Apply Now