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

Study of Energy Harvesting SWIPT Enabled Wireless Networks
Study of Energy Harvesting SWIPT Enabled Wireless Networks
Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
Autonomous Visual and Wireless Sensor Network based Smart Evacuation System
Autonomous Visual and Wireless Sensor Network based Smart Evacuation System
Synthesis and Characterization of Functionally Graded Copper Metal Matrix Composites
Synthesis and Characterization of Functionally Graded Copper Metal Matrix Composites
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Admissions Apply Now