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

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1109/CIDM.2014.7008691
AuthorSearch for: 1; Search for: 2; Search for: 2
Name affiliation
  1. National Research Council of Canada. Information and Communication Technologies
  2. National Research Council of Canada. Aerospace
FormatText, Article
Conference5th IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, 9 December 2014 through 12 December 2014
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
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LanguageEnglish
Peer reviewedYes
NPARC number21275822
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Record identifier4a05eb86-7321-4b1f-b307-a562f2cde208
Record created2015-07-14
Record modified2020-04-22
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