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

Automating Anxiety Detection using Respiratory Signal Analysis
Automating Anxiety Detection using Respiratory Signal Analysis
Amrita Automotive Technology Center (AATC)
Amrita Automotive Technology Center (AATC)
SDR based Modem for Spacecraft Telemetry reception, Telecommanding and Ranging Operations
SDR based Modem for Spacecraft Telemetry reception, Telecommanding and Ranging Operations
Statistical Approaches to Generating Concept Graphs
Statistical Approaches to Generating Concept Graphs
Indoor Information Representation and Management System (IIRMS)
Indoor Information Representation and Management System (IIRMS)
Admissions Apply Now