汽轮机重要易损部件中止样本集寿命数据管理系统的研究  

Research on Life Data Management System for Suspended Samples of Important Turbine Wearing Parts

作　　者：杨宇[1] 史进渊[1] 默静飞 

机构地区：[1]上海发电设备成套设计研究院,上海200240 [2]中广核工程有限公司,深圳518031

出　　处：《动力工程学报》2012年第8期598-601,共4页Journal of Chinese Society of Power Engineering

基　　金：科技部科研院所技术开发研究专项资金资助项目(2011EG119151);上海市信息化发展专项资金资助项目(201101009)

摘　　要：提出了电站汽轮机重要易损部件中止样本集寿命数据的预测模型,阐述了易损部件中止样本集寿命数据的威布尔分布检验、参数估计和寿命预测方法,给出了电站汽轮机重要易损部件可靠度、可靠寿命、平均寿命、检测周期和更换周期的确定方法和应用实例,并介绍了电站汽轮机重要易损部件寿命管理系统的功能.结果表明:电站汽轮机重要易损部件中止样本集寿命预测模型、方法和寿命管理系统不仅可以为电站汽轮机优化检修提供技术依据,而且能够使电站汽轮机重要易损部件的使用周期处于受控状态.An introduction is being presented to life prediction models for suspended samples of important wearing parts of steam turbines, together with an explanation to methods of the Weibull distribution examination, parameter estimation and life prediction of the suspended samples, as well as a description to the determination of the reliability, reliable life, average life, replacement cycle and detecting cycle of the key wearing components, including some application examples. Functions of the life data management sys- tem for wearing parts of steam turbines are simultaneously explained. With the life prediction model, method and life data management system, not only technical basis can be provided for the overhaul of steam turbines, but also the status of important wearing parts can be controlled within the service life.

关 键 词：汽轮机 易损部件 中止样本集 寿命数据管理 威布尔分布 预测模型 

分 类 号：TK261[动力工程及工程热物理—动力机械及工程]