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 Bimodal (MR/Optical) Smart MR Contrast Agent for Diagnosis
Development of Bimodal (MR/Optical) Smart MR Contrast Agent for Diagnosis
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
Small Molecular Theranostic for Selective Molecular Imaging and Targeted Delivery of Chemotherapeutics to the Tumors
Small Molecular Theranostic for Selective Molecular Imaging and Targeted Delivery of Chemotherapeutics to the Tumors
Modernization of Metallurgy Laboratory for Mechanical Testing, Metal Forming and Quantitative Metallurgical Microstructure Analysis
Modernization of Metallurgy Laboratory for Mechanical Testing, Metal Forming and Quantitative Metallurgical Microstructure Analysis
Design and Testing of an Optimized Vertical Axis Wind Turbine for Low Wind Speeds
Design and Testing of an Optimized Vertical Axis Wind Turbine for Low Wind Speeds
Admissions Apply Now