Back close
Admissions

Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models

Start Date: Sunday, Jan 01,2017

End Date: Sunday, Dec 31,2017

Project Incharge:Dr. Saimurugan M.
Co-Project Incharge:Dr. K. I. Ramachandran, Dr. Ramesh Kumar K., Dr. Krishna Kumar P.
Funded by:DST
Rotating machine degradation monitoring based on multi sensor signal fusion using deep learning models

The project titled “Rotating Machine Degradation Monitoring based on Multi Sensor Signal Fusion using Deep Learning Models“, is funded by DST. The investigators of the project are Dr. M. Saimurugan, Dr. K. I. Ramachandran, Dr. K. Rameshkumar, Dr. P. Krishnakumar.

Related Projects

Underpinning Neural Activity for Yoga and Meditation Techniques
Underpinning Neural Activity for Yoga and Meditation Techniques
An Intelligent Controller for Power Flow Management in a Smart Microgrid System with Power Quality Enhancement
An Intelligent Controller for Power Flow Management in a Smart Microgrid System with Power Quality Enhancement
Machine Independent fault diagnosis a unified approach
Machine Independent fault diagnosis a unified approach
Utilization of micronutrients rich indigenous cow dung to develop an innovative dermal trace metal delivery system with multifunctional facets 
Utilization of micronutrients rich indigenous cow dung to develop an innovative dermal trace metal delivery system with multifunctional facets 
Enhancement of Biodegradative Activity in Commercial and Lab Scale Compost Preparations with Lignocelluloytic fungi and nitrogen fixing bacteria as supplements- A Comparative Study
Enhancement of Biodegradative Activity in Commercial and Lab Scale Compost Preparations with Lignocelluloytic fungi and nitrogen fixing bacteria as supplements- A Comparative Study
Admissions Apply Now