• DocumentCode
    2314603
  • Title

    Notice of Retraction
    Optimization method for the layout of IMUs in deformation detection system of warship based on genetic algorithm

  • Author

    Liu Aili ; Ma Hongxu

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defence Technol., Changsha, China
  • Volume
    8
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    4014
  • Lastpage
    4017
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    The deformation of warship will influence the accuracy of angular position about the equipment in the deck. IMUs(Inertial Measurement Unit, laser gyros and accelerometers) are installed on various points of the warship to estimate the deformations. Genetic algorithm is utilized for the optimization of the layout of the IMUs, the fitness function of the genetic algorithm is built by the ship´s Modal Assurance Criterion (MAC) matrix. Results show that the Genetic algorithm based method presented in this paper can give an optimal layout of the IMUs for detecting the deformation of the warship.
  • Keywords
    deformation; genetic algorithms; inertial navigation; military vehicles; ships; IMU; deformation detection system; genetic algorithm; inertial measurement unit; layout; modal assurance criterion matrix; otimization method; warship; Finite element methods; Genetics; Layout; Monitoring; Optimization; Sensors; Shape; IMU; deformation detection; genetic algorithm; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584820
  • Filename
    5584820