@ARTICLE{Stanisławski_Jarosław_Application_2005,
 author={Stanisławski, Jarosław},
 volume={vol. 52},
 number={No 2},
 journal={Archive of Mechanical Engineering},
 pages={135-155},
 howpublished={online},
 year={2005},
 publisher={Polish Academy of Sciences, Committee on Machine Building},
 abstract={The paper presents the possibilities of neural network application in recognition of rotor blade faults. Computer calculated data of rotor response due to faults were used for neural network training. The rotor was modeled by elastic axes with distribution of Jumped masses. The rotor defects were simulated by changing aerodynamic, inertial or stiffness properties of one of the blades. Time results were subjected to spectral analysis for the purpose of neural networks training.},
 type={Article},
 title={Application of neural network to detecting faults of helicopter rotor},
 URL={http://ochroma.man.poznan.pl/Content/124970/PDF-MASTER/5_MECHANICAL_52_2005_2_Stanislawski_Application.pdf},
 keywords={helicopter, rotor, neural network},
}