Back close

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.
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

Modelling of Coconut Tree Trunk
Modelling of Coconut Tree Trunk
Computational Neuroscience and Cognitive Modeling Lab
Computational Neuroscience and Cognitive Modeling Lab
Bar Bending Simulator for L&T
Bar Bending Simulator for L&T
Object Oriented Approach To Context Based Image Retrieval
Object Oriented Approach To Context Based Image Retrieval
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Admissions Apply Now