摘要
根据汽轮机检修工艺,对汽轮发电机组转子轴系的对中检测方法进行了研究,提出了轴系参数的检测方案及相关技术,开发了一种高灵敏度的容栅式位移传感器和基于M51单片机的SKRS-232C译码转换及数据采集智能装置,进而组成可用于汽轮发电机组检修中转子对中调试的自动检测系统。针对多转子系统轴系的对中参数调试问题,建立了调整关系分析模型。基于遗传算法提出一种数值分析方法,可有效解决多目标规划中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,有效减少调整工作量,为机组的提前装复和投产提供技术保障。
According to the maintenance technology of turbine rotor system, the aligning method for turbo-generator rotors was studied, the automatic measurement and related technology for the shaft system parameters was presented in this paper. In addition, a grid-apacitance type displacement sensor with high sensitivity and a SKRS-232C intelligent device based on MS1 monolithic processor was developed for the data acquisition and decoding, and a PC-based measurement system was set up for the automatic alignment of turbine rotor. The analysis model was set up to solve main technical problems in the commission of alignment parameters for the multi-rotor system. The numeral analysis method based on Genetic Algorithm （GA） can solve the problems in multi-objective planning, such as the liable local optimization and low calculation efficiency. The application of this method in the parameters analysis of shaft system alignment can improve the calculation efficiency, reduce the adjusting and assure the ahead-of-schedule installation and operation effectively.
出处
《中国电力》
CSCD
北大核心
2006年第7期11-14,共4页
Electric Power
关键词
汽轮发电机组
转子对中参数
自动检测
转子轴系参数计算
调整方案优化
turbo-generator unit
rotors alignment parameter
automatic measuring
shaft parameter calculation
alignment solution optimization
