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
Development of Mine Blast Proof Composite
Development of Mine Blast Proof Composite
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
Impact of Surface Micro-Structure Modification using Plasma & its Wetting Behavior on the Corrosive Surface
Impact of Surface Micro-Structure Modification using Plasma & its Wetting Behavior on the Corrosive Surface
Design and Development of Low Profile Substrate Integrated Dielectric Resonator Antenna for Space Applications
Design and Development of Low Profile Substrate Integrated Dielectric Resonator Antenna for Space Applications
Admissions Apply Now