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基于小波有限元和遗传优化算法的转轴裂纹诊断
CRACK DIAGNOSIS FOR THE SHAFT BASED ON WAVELET FINITE ELEMENT METHOD AND GENETIC ALGORITHM
【摘要】 构造Rayleigh-Euler和Rayleigh-Timoshenko区间B样条小波梁单元,分别离散柔性转轴和刚性转盘,建立转子系统有限元模型。求解裂纹转子前三阶固有频率,并将其拟合成裂纹相对位置和相对深度的函数。将裂纹识别中的匹配追踪问题转化为多维优化问题,以实测固有频率作为输入,利用遗传算法寻优求解出与输入值相差最小的样本点,进而测出裂纹的相对位置和深度。试验研究表明,所提出的裂纹诊断方法具有较好的精度和鲁棒性,且易于在工程实践中进行裂纹转子定量诊断。
【Abstract】 The Rayleigh-Euler and Rayleigh-Timoshenko beam elements of B-spline wavelet on the interval (BSWI) are constructed to discrete slender shaft and stiffness disc respectively. Then the finite element model of rotor system is built up to solve the first three nature frequencies functions of relative crack location and depth by means of surface-fitting technique. Measured natural frequencies are used in a crack detection process and the relative crack location and depth can be identified through using genetic algorithm. The experimental results verify the validity of the method,which is feasible for practical application to diagnosis crack in rotor system.
【Key words】 Shaft; Crack; Wavelet finite element method; Genetic Algorithm; Diagnosis;
- 【文献出处】 机械强度 ,Journal of Mechanical Strength , 编辑部邮箱 ,2008年05期
- 【分类号】O346.1
- 【被引频次】7
- 【下载频次】386