Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring

DOIResolve DOI: http://doi.org/10.1109/CIDM.2014.7008691
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TypeArticle
Proceedings titleIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIDM 2014: 2014 IEEE Symposium on Computational Intelligence and Data Mining, Proceedings
Conference5th IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, 9 December 2014 through 12 December 2014
ISBN9781479945191
Article number7008691
Pages365372; # of pages: 8
SubjectAircraft control; Data mining; Delay control systems; Genetic algorithms; Helicopter services; Helicopters; Mathematical transformations; Phase space methods; Time delay; Computational intelligence methods; High dimensional phase space; Machine learning methods; Maintenance schedules; Measurement methods; Non-linear transformations; Nonlinear mappings; Quantification analysis; Flight control systems
Abstract
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PublisherIEEE
LanguageEnglish
AffiliationNational Research Council Canada; Information and Communication Technologies; Aerospace
Peer reviewedYes
NPARC number21275822
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Record identifier4a05eb86-7321-4b1f-b307-a562f2cde208
Record created2015-07-14
Record modified2016-05-09
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