基于不完全检验测试的安全仪表系统失效划分和PFD_(avg)计算方法  

Failure classification and PFD_(avg)calculation method for safety instrumented systems based on incomplete proof testing

作　　者：李秋娟 熊文泽 刁宇 刘瑶[2] 刘胜楠 汪阳 LI Qiujuan;XIONG Wenze;DIAO Yu;LIU Yao;LIU Shengnan;WANG Yang(National Petroleum and Natural Gas Pipe China Network Group Co.,Ltd.,Tianjin 300450,China;Instrumentation Technology and Economy Institute,Beijing 100055,China)

机构地区：[1]国家石油天然气管网集团有限公司科学技术研究总院分公司,天津300450 [2]机械工业仪器仪表综合技术经济研究所,北京100055

出　　处：《工业仪表与自动化装置》2024年第4期64-70,74,共8页Industrial Instrumentation & Automation

基　　金：国家重点研发计划项目“跨地域复杂油气管网安全高效运行状态监测传感系统及应用”(2022YFB3207600);国家市场监管重点实验室(智能机器人安全)开放课题资助(GQI-KFKT202206)。

摘　　要：目前对于安全仪表系统(SIS)的要求时危险失效平均概率(PFD_(avg))的计算采用的是完全检验测试(假设检验测试覆盖率100%)的方法,然而实际应用中这种完全的检验测试只存在理想情况,特别是面对复杂的系统或检维修策略情况下计算的误差难以接受。该文对于不完全检验测试情况下的失效划分进行研究,并基于新的失效划分,采用马尔科夫(Markov)状态转移的方式开展概率模型的构建,基于此模型开展PFD avg的计算,从而减少概率计算的误差。Currently,the calculation of the average probability of dangerous failure on demand(PFD_(avg))for safety instrumented systems(SIS)was based on the method of complete proof testing(assuming 100%coverage of proof testing).However,in practical application,this completed proof testing only exists in ideal situations,especially when faced with complex systems or maintenance strategies,and the calculation errors was difficult to accept.This article is reported that the failure partitioning under incomplete proof testing,and based on the new failure classification,uses Markov state transition to construct a probability model.Based on this model,PFD avg is calculated to reduce the error in probability calculation.

关 键 词：SIS检验测试 PFD_(avg) MARKOV模型 

分 类 号：X937[环境科学与工程—安全科学]