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

Development of a method to Control Ultraviolet Radiation in welding Processes
Development of a method to Control Ultraviolet Radiation in welding Processes
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Modeling the Effects of Decreased Level of GABA and Accumulation of GHB on GABA Receptors and its Effect on Pediatric/ Neonatal Seizures
Predictive Modeling of Complex IT systems
Predictive Modeling of Complex IT systems
Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)
Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)
Admissions Apply Now