Abstract

This paper describes a new approach to solve balancing of a rigid rotor. In this paper, the balancing of the rigid rotor using genetic algorithms, which are search algorithms based on the mechanics of natural selection and natural genetics is proposed. Under the assumption that the initial vibration values used to calculate correction masses contain errors, the influence coefficient method, the least squares method and a genetic algorithm are compared. The results show that the vibration amplitude obtained with the least squares method and the genetic algorithm is smaller than that obtained with the influence coefficient method.

주제어

#유전 알고리즘   #평형잡이   #강성회전체   #불평형진동   #최소자승법   #영향계수법  

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참고문헌 (4)

1. D. E. Goldberg , Genetic Algorithm in Search, Optimization & Machine Learning / v.,pp., 1989
   
2. 遺博的 アルゴリズム , 北野 , 産業圖書 / v.,pp., 1993
   
3. Balancing for a Rigid Rotor with Measurement Errors in Initial Unbalanced Vibration. Comparison of Balancing Conditions between the Least Squares Method and the Influence Coefficient Method , Fumio Fujisawa (et al ) , Trans. of JSME / v.59,pp.3336-3341, 1993
   
4. Fredric F. Ehrich , Handbook of Rotordynamics / v.,pp., 1992
   

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