Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/90517
Type: Artigo de evento
Title: Conventional Optical Fiber Current Measurements Improved By A High Accuracy Artificial Neural Network Algorithm
Author: Zimmermann A.C.
Besen M.
Encinas L.S.
Cordeiro C.M.B.
Abstract: This paper relies on an experiment using a conventional fiber optical current measurement system with new concept for signal processing using Artificial Neural Networks. To achieve the high accuracy results, a class 0.1% current standard was used as reference for the ANN processing. Also a large data collection was conducted to assure the high variability of the measurement process behavior, including changes in temperature and other non-linear effects. The results show 0.2% maximum error for the developed system, demonstrating the robustness and high accuracy of the proposed method, being capable of mitigate some drawbacks of FOCS system, like non-idealities compensation. © 2012 SPIE.
Editor: 
Rights: aberto
Identifier DOI: 10.1117/12.975616
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84875614437&partnerID=40&md5=8796dc8cbaa165e360761f941673d3c1
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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