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

Antimicrobial Activity of Different Plant Parts and Their Combinatorial Effects with Antibiotics
Antimicrobial Activity of Different Plant Parts and Their Combinatorial Effects with Antibiotics
DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
Development of Microbial Consortia for Effective Composting
Development of Microbial Consortia for Effective Composting
On-Line Condition Monitoring and Chatter Control in Thin-wall Machining Systems Using Machine Learning Algorithms
On-Line Condition Monitoring and Chatter Control in Thin-wall Machining Systems Using Machine Learning Algorithms
Modernisation of Dynamics Laboratory for realtime vibration analysis (MODROB)
Modernisation of Dynamics Laboratory for realtime vibration analysis (MODROB)
Admissions Apply Now