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Author Martinez, A. ♦ Sanchez, L. ♦ Couso, I.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Engines ♦ Monitoring ♦ Temperature measurement ♦ Market research ♦ Maintenance engineering ♦ Bandwidth ♦ Turbines ♦ Low Quality Data ♦ Engine Health Monitoring ♦ Genetic Fuzzy Systems ♦ Fuzzy Radviz
Abstract A new algorithm for assessment of Engine Health Monitoring (EHM) data in aircraft is proposed. The diagnostic tool quantifies step changes, shifts and trends in EHM data by means of a transformation that aggregates concurrent readings of EHM data into a single fuzzy state. A Genetic Fuzzy System is used to detect the occurance of a specific trend of interest in the sequence of states. The activation of the rules is represented in a 2D map by means of an extension of the Radviz visualization algorithm to fuzzy data.
Description Author affiliation: Univ. de Oviedo, Gijon, Spain (Sanchez, L.; Couso, I.) || Rolls-Royce Deutschland Ltd. & Co. KG, Blankenfelde-Mahlow, Germany (Martinez, A.)
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-07-07
Publisher Place India
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479900220
Size (in Bytes) 3.27 MB
Page Count 8
Starting Page 1
Ending Page 8


Source: IEEE Xplore Digital Library