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 Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
MiG Aircraft and Kamov Helicopter
MiG Aircraft and Kamov Helicopter
Deep Learning of Generic Features for Vision
Deep Learning of Generic Features for Vision
Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
Capacity,bit error rate and performance revaluations of MIMO based communication Systems on minimized multipath environment
Capacity,bit error rate and performance revaluations of MIMO based communication Systems on minimized multipath environment
Admissions Apply Now