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

Powertrain Technology – Emission Analyser for Euro VI (FIST – 2016)
Powertrain Technology – Emission Analyser for Euro VI (FIST – 2016)
Predictive Threat Evaluation in Complex IT Systems
Predictive Threat Evaluation in Complex IT Systems
Nanostructured iron-based mixed metal oxide photovoltaic thin films
Nanostructured iron-based mixed metal oxide photovoltaic thin films
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Video Summarization and Annotation for Content Based Retrieval
Video Summarization and Annotation for Content Based Retrieval
Admissions Apply Now