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

Segmentation and tracking of ovarian tumours from ovarian CT images 
Segmentation and tracking of ovarian tumours from ovarian CT images 
Molecular Structural Studies of Complex Natural Products by LCMS and UV Spectrophotometry
Molecular Structural Studies of Complex Natural Products by LCMS and UV Spectrophotometry
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
Software Implementation of Smart Energy Pod
Software Implementation of Smart Energy Pod
Numerical Modelling of Flow-Forming process and Experimental Validation
Numerical Modelling of Flow-Forming process and Experimental Validation
Admissions Apply Now