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

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
Thermal Hydraulics of Fast Breeder Reactor
Thermal Hydraulics of Fast Breeder Reactor
Fabrication of a Lab-on-a-Chip Device for the Point of Care Testing of Hemoglobin
Fabrication of a Lab-on-a-Chip Device for the Point of Care Testing of Hemoglobin
Detailed computational modelling and optimization of natural draught cook stoves
Detailed computational modelling and optimization of natural draught cook stoves
VLSI architecture for Reliability based soft decision decoding of turbo codes for satellite communication
VLSI architecture for Reliability based soft decision decoding of turbo codes for satellite communication
Admissions Apply Now