An approach to fatigue damage estimation of helicopter rotating components using computational intelligence techniques

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TypeArticle
Proceedings titleAnnual Forum Proceedings - AHS International
Conference69th American Helicopter Society International Annual Forum 2013, 21 May 2013 through 23 May 2013
ISSN1552-2938
ISBN9781627486514
Volume2
Pages10341041; # of pages: 8
SubjectComputational intelligence techniques; Dynamic component; Fatigue damage estimation; Operational flights; Rainflow cycle counting; Real aircraft; Remaining life prediction; Time signals; Artificial intelligence; Military helicopters; Flight control systems
AbstractIn this paper we present a computational intelligence approach to estimate fatigue usage in rotating components based on real aircraft data (Australian Black Hawk S-70A-9 flight load survey data). The load time signal for the main rotor pushrod in forward level flight is first predicted using only input data from the flight state and control system parameters through a computational intelligence model. The subsequent fatigue usage is then estimated using adaptations of standard techniques, such as the Rainflow cycle counting method. More accurate fatigue accumulation and remaining life predictions can possibly be made considering the real operational flight load spectra and not just based on design mission estimations, accounting for the change in use of platforms during their in-service lives. This approach is particularly devoted to rotating components and avoids the use of additional sensors, specifically challenging when dynamic components are considered. Copyright© (2013) by the American Helicopter Society International.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC)
Peer reviewedYes
NPARC number21270624
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Record identifier60427844-93d0-4a24-aecd-92a999f3d324
Record created2014-02-17
Record modified2016-05-09
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