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

Electrodeposition of Lead-Free Solder Materials for Microelectronic Packaging
Electrodeposition of Lead-Free Solder Materials for Microelectronic Packaging
Development of Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Development of Flux TIG, Pulsed TIG Technology for Dissimilar weldments and Corrosion Studies
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Autonomous Guidance System for Visually Impaired in a Library
Autonomous Guidance System for Visually Impaired in a Library
MetaSim
MetaSim
Admissions Apply Now