Back close

Machine Independent fault diagnosis a unified approach

Start Date: Wednesday, Jun 01,2016

School: School of Engineering, Coimbatore

Project Incharge:Dr. C. Santhoshkumar
Funded by:DST
Machine Independent fault diagnosis a unified approach

The project titled Machine Independent fault diagnosis a unified approach, is funded by DST. The investigators of the project are Dr. K. I. Ramachandran and Dr. C. Santhoshkumar.

In recent years, condition based maintenance (CBM) of systems has received a lot of attention because of its potential to enhance productivity, maximize operating lifetime and conjointly minimize maintenance and working cost. Support vector machine (SVM) is a widely used machine learning algorithm in the development of CBM fault identification systems

Related Projects

Decoding of Turbo Product Codes using Deep Learning Technique
Decoding of Turbo Product Codes using Deep Learning Technique
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Investigation on High Performance Nano Adhesive Bonding of Ultra High Temperature Resistant Polymer and its Performance under Space Environments
Investigation on Effect of Space Radiations on Space Durable Polymeric Nano Composite for Future Generation Space Missions
Investigation on Effect of Space Radiations on Space Durable Polymeric Nano Composite for Future Generation Space Missions
Design of a Compact and High Efficient Rectenna for RF Energy Harvesting
Design of a Compact and High Efficient Rectenna for RF Energy Harvesting
Development and Prototyping of ICT enabled Smart Charging Network Components
Development and Prototyping of ICT enabled Smart Charging Network Components
Admissions Apply Now