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

Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Electrodeposition of Aluminium-Lithium Alloys for Cryo and Space Applications
Electrodeposition of Aluminium-Lithium Alloys for Cryo and Space Applications
Process Monitoring and Control of Ultra-precision Machining of Titanium Alloys
Process Monitoring and Control of Ultra-precision Machining of Titanium Alloys
Appraisal of Seismic hazard in Delhi and Assessment of Preparedness Level among the Community
Appraisal of Seismic hazard in Delhi and Assessment of Preparedness Level among the Community
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Admissions Apply Now