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

Development of a Hybrid Inverted Pendulum on wheels and Hopper based Dual Locomotion Assistive Robot
Development of a Hybrid Inverted Pendulum on wheels and Hopper based Dual Locomotion Assistive Robot
Development of a passive vibration isolation based on negative stiffness mechanism.
Development of a passive vibration isolation based on negative stiffness mechanism.
Hybrid Composite for Aviation Applications
Hybrid Composite for Aviation Applications
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Strengthen child protection system and structures to deliver preventive and responsive child protection service in Tamilnadu and Kerala
Strengthen child protection system and structures to deliver preventive and responsive child protection service in Tamilnadu and Kerala
Admissions Apply Now