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

BAJA SAE AUBURN
BAJA SAE AUBURN
Development of Methodologies for Detection of Digital Contents Plagiarism
Development of Methodologies for Detection of Digital Contents Plagiarism
High Performance Polymeric Composite for Space Applications
High Performance Polymeric Composite for Space Applications
Understanding Impacts of El-Nino events on the Indian Agricultural Productivity (CoPI)
Understanding Impacts of El-Nino events on the Indian Agricultural Productivity (CoPI)
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Admissions Apply Now