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

Predictive Modeling of Complex IT systems
Predictive Modeling of Complex IT systems
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
Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
A Cyber-Physical System for Leak Detection in Water Distribution Networks
A Cyber-Physical System for Leak Detection in Water Distribution Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Admissions Apply Now