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

Isolation and Characterization of Host Binding Proteins from Bacillus Clausii Using Mass Spectrometry-a Proteomic Approach
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii Using Mass Spectrometry-a Proteomic Approach
Computational Modelling and Prediction of Cerebellar Input Layer function, Timing and Plasticity for Understanding Neurophysiological Disorders
Computational Modelling and Prediction of Cerebellar Input Layer function, Timing and Plasticity for Understanding Neurophysiological Disorders
Paraptosis: a non-apoptotic cell death pathway to target cancer
Paraptosis: a non-apoptotic cell death pathway to target cancer
Nutraceutical Preparation using Coconut Water
Nutraceutical Preparation using Coconut Water
Identification and characterization of the role of Allium sativum-microbiome on the production of therapeutic metabolites
Identification and characterization of the role of Allium sativum-microbiome on the production of therapeutic metabolites
Admissions Apply Now