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
Link To Document :
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