利用威布尔分布模型对球磨机可靠性分析  

Reliability Analysis of a Ball Mill by Using a Weibull Distribution Model

作　　者：周英彪[1] 段权鹏[2] 范杜平[1] 

机构地区：[1]华中科技大学煤燃烧国家重点实验室,湖北武汉430071 [2]中南电力设计院发电工程分公司,湖北武汉430071

出　　处：《热能动力工程》2009年第1期95-99,共5页Journal of Engineering for Thermal Energy and Power

摘　　要：介绍了威布尔分布模型及其优点,对某热电厂B磨煤机的缺陷数据进行分类整理,利用二参数威布尔模型和三参数威布尔模型计算时,分别使用MATLAB软件及采用相关系数优化法进行拟合,对数据计算的结果进行比较分析,三参数威布尔分布模型与常用的二参数威布尔分布模型很相似,由于三参数威布尔分布模型考虑了位置参数而更加的符合实际,所以在球磨机状态检修的实际分析中采用三参数威布尔分布模型。可靠性分析技术的具体应用是利用三参数威布尔分布的数学期望公式求取平均无故障工作时间(MTBF),运用检测周期与MTBF的关系求取设备的状态检测周期以及基于失效率函数的故障类型的诊断。Described were a Weibull distribution model and its merits. Fault data of B ball mill in a thermal power plant were classi-fied and sorted out. When calculating by using a two-parameter Weibull model and three-parameter one,software Matlab and a correlative coefficient optimization method were used respectively to effect a fitting. The results calculated from the above data were compared and analyzed. The three-parameter Weibull distribution model is very similar to the two-param-eter one. As the three-parameter Weibull distribution model is more compatible with actual conditions due to the location parameters being taken into account,it was used in the actual analysis of a ball mill during its status inspection and main-tenance. A concrete use of reliability analysis technology is to obtain a mean time between failures (MTBF) by using the mathematical expectation formula of the three-parameter Weibull distribution. A cyclic inspection period of eqdipment condition been obtained by employing the correlation between the detection period and MTBF. Also diagnosed was the fault type based on a failure rate function.

关 键 词：球磨机 可靠性分析 威布尔分布 

分 类 号：TM611[电气工程—电力系统及自动化]