基于突变级数和改进AHP的系统故障状态等级确定方法  

Method of Determining System Fault State Level Based on Catastrophe Progression and Improved AHP

作　　者：崔铁军[1] 李莎莎 CUI Tiejun;LI Shasha(College of Safety Science and Engineering,Liaoning Technical University,Huludao 125105,China;School of Business Administration,Liaoning Technical University,Huludao 125105,China)

机构地区：[1]辽宁工程技术大学安全科学与工程学院,辽宁葫芦岛125105 [2]辽宁工程技术大学工商管理学院,辽宁葫芦岛125105

出　　处：《安全与环境工程》2022年第3期23-28,共6页Safety and Environmental Engineering

基　　金：国家自然科学基金项目(52004120);辽宁省教育厅科学研究经费项目(LJ2020QNL018);辽宁省教育厅基本科研项目(LJKQZ2021157);辽宁工程技术大学学科创新团队项目(LNTU20TD-31)。

摘　　要：为了确定系统故障状态等级,从导致系统故障的基本原因出发,考虑系统故障过程,提出一种基于突变级数和改进层次分析(AHP)法的系统故障状态等级确定方法。该方法先将系统故障过程表示为系统故障演化过程(System Fault Evolution Process,SFEP),使用空间故障网络(Space Fault Network,SFN)表示SFEP,进而转化为故障树结构;然后使用改进AHP法确定故障树中各层事件的相对权重,使用突变级数法确定各层事件的分值;最后根据改进AHP法和突变级数法确定的各事件权重和分值,给出系统故障状态等级确定方法的具体步骤,解释了各方法耦合工作的机制。通过实例分析与验证,结果表明该方法达到了理想的分析效果,且计算量少、精度满足要求。该研究结果可为系统故障状态等级的确定提供参考。To determine the system fault state level,from the basic causes of system fault,considering the system fault process,this paper proposes a method based on catastrophe progression and improved AHP.The system fault process is represented as System Fault Evolution Process(SFEP),and Space Fault Net-work(SFN)is used to represent SFEP,and then is transformed into fault tree structure.The improved AHP method is used to determine the relative weight of events in each layer of fault tree,and the catastro-phe series method is used to determine the event score of each layer.The method of determining the level of system fault state is given,the specific steps of the method are discussed and the coupling mechanism of each method is explained.Through a specific example analysis,the results show that the established me-thod achieves the ideal analysis effect,with less calculation and accuracy meeting the requirements.This study result provides reference for determining the fault state level of the system.

关 键 词：安全系统工程 系统故障状态等级 突变系数法 改进AHP法 系统故障演化过程(SFEP) 空间故障网络(SFN) 

分 类 号：X913.4[环境科学与工程—安全科学]