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

Synthesis and Characterization of Functionally Graded Copper Metal Matrix Composites
Synthesis and Characterization of Functionally Graded Copper Metal Matrix Composites
Unifying the design of Heterogeneous Systems
Unifying the design of Heterogeneous Systems
Design and Analysis of Dual Frequency Quarter-Wave Shorted Microstrip Patch Antenna for Satellite MIMO
Design and Analysis of Dual Frequency Quarter-Wave Shorted Microstrip Patch Antenna for Satellite MIMO
Fulbright Specialist Scholar Program
Fulbright Specialist Scholar Program
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Admissions Apply Now