Minimizing Fatigue Damage in Aircraft Structures

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Marja Ruotsalainen and Juha Jylha and Ari Visa",
  title =        "Minimizing Fatigue Damage in Aircraft Structures",
  journal =      "IEEE Intelligent Systems",
  year =         "2016",
  volume =       "31",
  number =       "4",
  pages =        "22--29",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming, Aircraft,
                 Artificial intelligence, Fatigue, Libraries, Military
                 aircraft, Monitoring, Optimisation",
  DOI =          "doi:10.1109/MIS.2016.23",
  ISSN =         "1541-1672",
  size =         "8 pages",
  abstract =     "Aircraft structural health monitoring (SHM) refers to
                 a process in which sensors are employed to assess the
                 current state and to predict the future state of the
                 structure in terms of its ageing and deterioration.
                 Besides preventing failures, SHM allows extending the
                 aircraft life cycle. Consequently, adopting SHM is
                 strongly motivated not only by flight safety but also
                 by economic considerations. Aircraft are designed for a
                 certain life time. If one is operated in a manner more
                 aggressive than expected, its life time will be
                 diminished. It has been difficult to monitor the
                 pilot's role in aircraft structural deterioration. This
                 article focuses on the optimisation of aircraft usage
                 as a new aspect of SHM, discusses our knowledge
                 discovery approach based on dynamic time warping and
                 genetic programming, and points out some of the
                 challenges faced in applying AI to aircraft SHM. The
                 proposed approach provides means to gain valuable
                 knowledge for decision making on cost-efficient future
                 usage of an aircraft fleet.",
  notes =        "Tampere University of Technology, Tampere

                 Also known as \cite{7412616}",

Genetic Programming entries for Marja Ruotsalainen Juha Jylha Ari Visa