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

From National Research Council Canada

DOIResolve DOI:
AuthorSearch for: 1; Search for: 2; Search for: 2
  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
Publication date
Peer reviewedYes
NPARC number21275822
Export citationExport as RIS
Report a correctionReport a correction (opens in a new tab)
Record identifier4a05eb86-7321-4b1f-b307-a562f2cde208
Record created2015-07-14
Record modified2020-04-22
Date modified: