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 of Probiotic Lactobacillus Species with Gelatin Binding Property from Curd and Analysis of its Probiotic Attributes
Isolation of Probiotic Lactobacillus Species with Gelatin Binding Property from Curd and Analysis of its Probiotic Attributes
5-in-1 Wearable Device
5-in-1 Wearable Device
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-4)
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-4)
Conversion of Mixed Food and Plastic Waste to Liquid Fuels through Synthesis Gas using a Microchannel Reactor
Conversion of Mixed Food and Plastic Waste to Liquid Fuels through Synthesis Gas using a Microchannel Reactor
Performance Analysis of Ornament Dressing room on GPU over CPU
Performance Analysis of Ornament Dressing room on GPU over CPU
Admissions Apply Now