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

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
Smart Pharmacist For Visually Impaired
Smart Pharmacist For Visually Impaired
Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Amrita Automotive Technology Center (AATC)
Amrita Automotive Technology Center (AATC)
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
Admissions Apply Now