Project Incharge: 
Dr. K. I. Ramachandran
Co-Project Incharge: 
Dr. C. Santhoshkumar
Date: 
Wednesday, June 1, 2016
Department: 
Mechanical
School: 
School of Engineering
Funding Agency: 
DST

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

Experimental setup of machine/system independent fault diagnosis system