KooN表决结构多阶段马尔可夫模型简化算法
发布时间:2018-08-04 09:42
【摘要】:针对传统多阶段马尔可夫模型CMM(conventional multi-phase Markov)在建模过程中存在分析过程复杂、维数爆炸等问题,提出一种多阶段马尔可夫模型简化算法SMM(simplified muti-phase Markov)。对该方法与CMM方法、IEC61508解析式方法中的计算负荷与精度进行数值分析。结果表明:采用SMM方法的计算结果与CMM方法的基本一致,在维持计算精度的同时避免了CMM方法中复杂的多阶段马尔可夫建模过程,极大地降低了计算量,使得安全仪表系统中失效概率计算更加快速且准确。
[Abstract]:In order to solve the problem of complex analysis process and dimension explosion in the modeling process of traditional multi phase Markov model CMM (conventional multi-phase Markov), a multi-stage Markov model simplification algorithm SMM (simplified muti-phase Markov) is proposed. The calculation load and precision in the method and CMM method and IEC61508 analytical method are calculated. The results show that the calculated results of the SMM method are basically the same as that of the CMM method. At the same time, the complexity of the multi stage Markov modeling process in the CMM method is avoided, and the computational complexity is greatly reduced and the calculation of the inefficiency probability in the safety instrument system is faster and more accurate.
【作者单位】: 中国石油大学机电工程学院;中国石油独山子石化公司;
【基金】:山东省自然科学基金项目(ZR201702160283) 国家重大科技专项(D719-ZGSY-555)
【分类号】:TE65;TQ086
本文编号:2163454
[Abstract]:In order to solve the problem of complex analysis process and dimension explosion in the modeling process of traditional multi phase Markov model CMM (conventional multi-phase Markov), a multi-stage Markov model simplification algorithm SMM (simplified muti-phase Markov) is proposed. The calculation load and precision in the method and CMM method and IEC61508 analytical method are calculated. The results show that the calculated results of the SMM method are basically the same as that of the CMM method. At the same time, the complexity of the multi stage Markov modeling process in the CMM method is avoided, and the computational complexity is greatly reduced and the calculation of the inefficiency probability in the safety instrument system is faster and more accurate.
【作者单位】: 中国石油大学机电工程学院;中国石油独山子石化公司;
【基金】:山东省自然科学基金项目(ZR201702160283) 国家重大科技专项(D719-ZGSY-555)
【分类号】:TE65;TQ086
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,本文编号:2163454
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