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Principal Components Analysis and Adaptive Decision System Based on Fuzzy Logic for Power Transformer

Principal Components Analysis and Adaptive Decision System Based on Fuzzy Logic for Power... https://doi.org/10.1016/j.fiae.2017.12.005 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuzzy Information and Engineering Taylor & Francis

Principal Components Analysis and Adaptive Decision System Based on Fuzzy Logic for Power Transformer

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Publisher
Taylor & Francis
Copyright
© 2017 Fuzzy Information and Engineering Branch of the Operations Research Society of China. Production and hosting by Elsevier B.V. All rights reserved.
ISSN
1616-8666
eISSN
1616-8658
DOI
10.1016/j.fiae.2017.12.005
Publisher site
See Article on Publisher Site

Abstract

https://doi.org/10.1016/j.fiae.2017.12.005 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Journal

Fuzzy Information and Engineering – Taylor & Francis

Published: Dec 1, 2017

Keywords: Principal component; Fuzzy logic; Gas analysis; Power transformers; Remaining life

References

  • Existence of solution of nonlinear fuzzy fredholm Integro-differential equations
  • Influence of fuzzy parameters on the modeling quality of XLPE insulation properties under thermal aging
  • Transformer fault diagnosis by dissolved-gas analysis
  • Function analysis based rule extraction from artificial neural networks for transformer incipient fault diagnosis
  • On some logical connectives for Fuzzy Set Theory
  • T-norm based logics with and independent involutive negation
  • A centroid-based ranking method of trapezoidal intuitionistic fuzzy and its application to MCDM problems
  • Proposal for an improvement in transformer diagnosis using dissolved gas analysis (DGA)
  • Expert system for power transformer diagnosis
  • Implementation of knowledge management in energy companies