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国外文献 > 1.轴承 > 8. 系统与应用 > 电机与旋转机械

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标 题： A Genetic Algorithm based Inverse Problem Approach for Pedestal Looseness identification in Rotor-Bearing Systems
基于遗传算法的逆问题方法用于转子轴承系统中轴颈松动度识别
作 者： Yongyong He
Zhenyong Chen
Dan Guo
Fulei Chu
关键词： Genetic Algorithm  [遗传算法]
Inverse Problem  [ 反问题]
Pedestal Looseness  [ 底座松动]
Rotating Machinery  [ 旋转机械]
出版年： 2003
会议名： 5th International Conference on Damage Assessment of Structures (DAMAS 2003)
第五届结构损伤评估国际会议（DAMAS 2003）
届 次： 5th
摘 要： Pedestal looseness is a very dangerous and frequent fault in rotating machinery. In this paper, a genetic algorithm based inverse problem approach is proposed for the identification of pedestal looseness in the rotor-bearing system. The proposed approach regards the pedestal looseness identification as an inverse problem, and formulates this problem as a multi-parameter optimization problem by establishing a non-linear dynamics model of the rotor-bearing system with the pedestal looseness, and then utilizes a genetic algorithm to search for the solution. In addition, the non-linear dynamics model and the parameter sensitiveness of the system response are investigated. The responses of the system are obtained by using the fourth-order Runge-Kutta integration. The numerical experiments suggest that good identification of the pedestal looseness is possible and the proposed approach is feasible.

转子轴承系统中支座松动是一种非常危险且常见的故障。本文提出一种基于遗传算法的逆问题方法，用于识别转子轴承系统的支座松动。该方法将支座松动的识别视为一个逆问题，通过建立包含支座松动的转子轴承系统的非线性动力学模型，并将其建模为多参数优化问题，然后利用遗传算法进行求解。此外，还研究了系统的非线性动力学模型及响应参数的敏感性。系统响应通过四阶龙格-库塔积分法获得。数值实验表明，该方法能够有效识别支座松动，且所提方法具有可行性。
中文内容为网络AI翻译，专业术语未必准确，仅供参考。

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