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

An automated system to mitigate loss of life at unmanned level crossings
An automated system to mitigate loss of life at unmanned level crossings
Coastal reservoir concept to impound Netravati River flood waters: A sustainable strategy for water resource development for Mangalore and Bangalore
Coastal reservoir concept to impound Netravati River flood waters: A sustainable strategy for water resource development for Mangalore and Bangalore
Transforming Global Health through Computational Cookstove Design
Transforming Global Health through Computational Cookstove Design
DrillSim
DrillSim
Development and Prototyping of ICT enabled Smart Charging Network Components
Development and Prototyping of ICT enabled Smart Charging Network Components
Admissions Apply Now