R
R. Gopinath
Researcher at Amrita Vishwa Vidyapeetham
Publications - 20
Citations - 289
R. Gopinath is an academic researcher from Amrita Vishwa Vidyapeetham. The author has contributed to research in topics: Support vector machine & Fault (power engineering). The author has an hindex of 7, co-authored 19 publications receiving 167 citations. Previous affiliations of R. Gopinath include Central Scientific Instruments Organisation & National Aerospace Laboratories.
Papers
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Journal ArticleDOI
Energy management using non-intrusive load monitoring techniques - State-of-the-art and future research directions
TL;DR: This paper presents the comprehensive review of state-of-the-art algorithms that have been explored by the researchers towards developing an accurate NILM system for effective energy management and potential applications of NilM in different domains and its future research directions are discussed.
Journal ArticleDOI
Intelligent fault diagnosis of synchronous generators
TL;DR: This work identifies and removes the system-dependent features using a nuisance attribute projection (NAP) algorithm to model a system-independent feature space to make the features robust across the two different capacity synchronous generators.
Journal ArticleDOI
Feature Mapping Techniques for Improving the Performance of Fault Diagnosis of Synchronous Generator
TL;DR: Experiments and results show that LLC is superior to sparse coding for improving the performance of fault diagnosis of a synchronous generator.
Proceedings ArticleDOI
Fault injection capable synchronous generator for condition based maintenance
R. Gopinath,T. N. P. Nambiar,S. Abhishek,S. M. Pramodh,M. Pushparajan,K. I. Ramachandran,C.S. Kumar,R. Thirugnanam +7 more
TL;DR: The design specifications of an experimental setup capable of injecting faults in a synchronous generator to develop and test algorithms for condition based maintenance of aerospace applications and will help other researchers develop low cost experimental facility to pursue research in machine condition monitoring are presented.
Proceedings ArticleDOI
Locality constrained linear coding for fault diagnosis of rotating machines using vibration analysis
K. T. Sreekumar,R. Gopinath,M. Pushparajan,Aparna S. Raghunath,C. Santhosh Kumar,K. I. Ramachandran,M Saimurugan +6 more
TL;DR: This work uses locality constrained linear coding (LLC) to map the input feature vectors to a higher dimensional linear space, and remove some of the speed specific dimensions to improve the speed independent performance of the fault diagnosis system.