遗传算法在过程设备失效概率计算中的应用  

APPLICATION OF GENETIC ALGORITHM IN CALCULATION OF FAILURE PROBABILITY OF PROCESS EQUIPMENT

作　　者：李卫卫[1] 赵建平[1] 

机构地区：[1]南京工业大学,江苏省南京市210009

出　　处：《炼油技术与工程》2008年第5期39-42,共4页Petroleum Refinery Engineering

基　　金：国家863科技计划项目(2006AA04Z439);"十一五"国家科技支撑课题2006BKA02B02

摘　　要：定量风险评价常常采用一次二阶矩法进行设备失效概率的预测,但对于非正态变量和非线性极限状态方程,其求解结果存在一定的误差。因此采用遗传算法寻求设备失效概率分析的最优解,给出了计算步骤和方法,并进行了算例验证。For quantitative risk assessment, FOSM is often used to predict failure probability of the equipment. However, for non-normal random variables and nonlinear limit state functions, the results will have an error of certain degree. In this paper genetic algorithm （GA） is adopted tO seek optimum solutions of the failure probability, and the calculating steps are introduced as well as the method of genetic algorithm. Two numerical examples have also been calculated to verify the validation of GA method.

关 键 词：遗传算法 可靠指标β 失效概率 设备 

分 类 号：TB114[理学—概率论与数理统计]