摘要
针对汽轮机检修和安装过程转子系统轴系对中调试参数的计算问题,提出了以被调整轴瓦数最少,调整量最小为目标的优化调整方案,建立了相应的调整关系分析模型。基于遗传算法和惩罚函数算法提出了一种数值分析方法,使通常单独使用的惩罚函数搜索寻优算法和遗传算法的某些局限性得以改善,可有效地解决多目标规划搜索过程易陷入局部优化解和计算效率低等问题。此方法应用到汽轮机转子轴系对中调整方案的参数分析过程,可显著提高计算效率,有效地减少轴系的调整工作量,为机组的提前装复和投产提供技术保障。
Concerning the calculation of parameters involved in the alignment of a shafting in a rotor system during the overhaul and installation of a steam turbine,the authors have presented an optimized adjustment scheme to minimize both the number of bearing bushes to be aligned and the adjustment work load and have also established a model for analyzing relevant regulation relations.A numerical analysis method has been put forward based on a genetic algorithm and penalty function one,thus eliminating some limitations present when penalty-function optimumseeking algorithm and genetic algorithm are used separately.In addition,one can also effectively solve such problems as a partial optimization solution and low calculation efficiency,associated with the process of multi-target project searching.The method under discussion can significantly raise the calculation efficiency and efficaciously reduce shafting regulation work load when applied to the parameter analysis of various alignment versions for the shafting of a turbine rotor system,providing a technical safeguard for achieving an ahead-of-schedule reassembly and put-into-operation of steam turbine units.
出处
《热能动力工程》
EI
CAS
CSCD
北大核心
2007年第1期11-14,20,共5页
Journal of Engineering for Thermal Energy and Power
关键词
汽轮发电机组
转子对中参数
数值分析方法
轴瓦调整方案优化
遗传算法
turbogenerator unit,rotor alignment parameter,numerical analysis method, optimization of bearing bush adjustment scheme,genetic algorithm