基于SFN故障模式的最终事件故障概率分布确定方法

doi:10.12052/gdutxb.200078

Abstract

Abstract: To study the fault probability distribution of target event (TEFPD) of fault modes in space fault network (SFN), the distribution characteristics are determined under different conditions, and the determination methods of TEFPD under different conditions are proposed. The research objects are unit fault evolution process and all event induction + target event process. According to the relationships between cause events and result events, the analysis methods are divided into comparative form method and inheritance form method. According to the existence of events in fault modes, the processing methods of fault probability distribution can be divided into maximum method and average method. Considering the influence of many factors, the fault probability distribution of event is introduced into the analysis, and TEFPD is obtained under various conditions. TEFPD is obtained through a simple fault mode. Finally, the significance of TEFPD characteristics obtained by various methods is summarized.

Key words: safety system engineering, system fault evolution process, space fault network, target event, determination of fault probability distribution

Li Sha-sha, Cui Tie-jun. The Determination Method for Fault Probability Distribution of Target Event Based on Fault Mode of SFN[J].Journal of Guangdong University of Technology, 2020, 37(06): 9-16.

References

[1] 崔铁军, 李莎莎. 空间故障树与空间故障网络理论综述[J]. 安全与环境学报, 2019, 19(2): 399-405.
CUI T J, LI S S. A survey of space fault tree and space fault network [J]. Journal of Safety and Environment, 2019, 19(2): 399-405.
[2] 崔铁军, 汪培庄. 空间故障树与因素空间融合的智能可靠性分析方法[J]. 智能系统学报, 2019, 14(5): 1-11.
CUI T J, WANG P Z. Intelligent reliability analysis method based on space fault tree and factor space [J]. CAAI Transactions on Intelligent Systems, 2019, 14(5): 1-11.
[3] 崔铁军, 李莎莎, 朱宝岩. 含有单向环的多向环网络结构及其故障概率计算[J]. 中国安全科学学报, 2018, 28(7): 19-24.
CUI T J, LI S S, ZHU B Y. Multidirectional ring network structure with one-way ring and its fault probability calculation [J]. China Safety Science Journal, 2018, 28(7): 19-24.
[4] 谢光强, 陈俊宇, 郭小全. 基于SDG的集群打印系统故障智能诊断研究[J]. 广东工业大学学报, 2020, 37(4): 15-20.
XIE G Q, CHEN J Y, GUO X Q. A Research on intelligent fault diagnosis of cluster printing system based on SDG [J]. Journal of Guangdong University of Technology, 2020, 37(4): 15-20.
[5] 荣泽成, 陈璟华, 郭壮志, 等. 基于非线性互补约束的含DG配电网故障区段定位方法[J]. 广东工业大学学报, 2020, 37(4): 51-58.
RONG Z C, CHEN J H, GUO Z Z, et al. A Fault segment location method for DG distribution network based on nonlinear complementary constraints [J]. Journal of Guangdong University of Technology, 2020, 37(4): 51-58.
[6] 刘珍娟, 张立臣. 基于软件定义的移动信息物理融合系统[J]. 广东工业大学学报, 2019, 36(6): 59-65.
LIU Z J, ZHANG L C. A mobile cyber-physical system based on software definition [J]. Journal of Guangdong University of Technology, 2019, 36(6): 59-65.
[7] 石聪聪, 刘富春. 模糊离散事件系统基于模式的故障诊断[J]. 广东工业大学学报, 2019, 36(1): 35-41.
SHI C C, LIU F C. A pattern-based failure diagnosis of fuzzy discrete-event systems [J]. Journal of Guangdong University of Technology, 2019, 36(1): 35-41.
[8] 程静, 王维庆, 何山. 基于KF-PP分析的风电轴承故障模式识别[J]. 可再生能源, 2018, 36(9): 1392-1397.
CHENG J, WANG W Q, HE S. Fault pattern recognition for wind turbine bearings based on KF-PP analysis [J]. Renewable Energy Resources, 2018, 36(9): 1392-1397.
[9] 杜党党, 贾晓亮, 王卓. 基于故障彩色图谱的航空发动机故障模式识别[J]. 计算机集成制造系统, 2018, 24(9): 2297-2305.
DU D D, JIA X L, WANG Z. Fault model identification method for aero engines based on fault color picture [J]. Computer Integrated Manufacturing Systems, 2018, 24(9): 2297-2305.
[10] 杨奕飞, 冯静. 基于HMM-SVR的船舶动力设备故障模式识别与状态预测研究[J]. 船舶工程, 2018, 40(3): 68-72+97.
YANG Y F, FENG J. Fault pattern recognition and state prediction research of ship power equipment based on HMM-SVR [J]. Ship Engineering, 2018, 40(3): 68-72+97.
[11] 余良武, 刘东风, 房友龙, 等. 油液监测故障模式识别理论研究现状[J]. 润滑与密封, 2018, 43(2): 115-118.
YU L W, LIU D F, FANG Y L, et al. Research status of pattern recognition theories for oil monitoring [J]. Lubrication Engineering, 2018, 43(2): 115-118.
[12] 周鹏辉, 马红占, 陈东萍, 等. 基于模糊随机故障模式与影响分析的产品再设计模块识别[J]. 上海交通大学学报, 2017, 51(10): 1189-1195.
ZHOU P G, MA H Z, CHEN D P, et al. Identification of product redesign modules based on fuzzy random failure mode and effects analysis [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1189-1195.
[13] 耿蒲龙, 宋建成, 赵钰, 等. 基于SVM增量学习算法的煤矿高压断路器故障模式识别方法[J]. 煤炭学报, 2017, 42(8): 2198-2204.
GENG P L, SONG J C, ZHAO Y, et al. A method of fault pattern recognition for the high voltage circuit breaker based on incremental learning algorithm for SVM [J]. Journal of China Coal Society, 2017, 42(8): 2198-2204.
[14] 崔铁军, 汪培庄, 马云东. 01SFT中的系统因素结构反分析方法研究[J]. 系统工程理论与实践, 2016, 36(8): 2152-2160.
CUI T J, WANG P Z, MA Y D. Inward analysis of system factor structure in 01 space fault tree [J]. Systems Engineering-Theory & Practice, 2016, 36(8): 2152-2160.
[15] 崔铁军, 马云东. 因素空间的属性圆定义及其在对象分类中的应用[J]. 计算机工程与科学, 2015, 37(11): 2170-2174.
CUI T J, MA Y D. Definition of the attribute circle in factors space and its application in object classification [J]. Computer Engineering & Science, 2015, 37(11): 2170-2174.
[16] 崔铁军, 马云东. 基于因素空间中属性圆对象分类的相似度研究及应用[J]. 模糊系统与数学, 2015, 29(6): 56-64.
CUI T J, MA Y D. Research on the similarity of object classification of attribute circular and application based on factors space [J]. Fuzzy System and Mathematics, 2015, 29(6): 56-64.
[17] 崔铁军, 李莎莎, 马云东. SFT下云化因素重要度和因素联合重要度的实现与认识[J]. 安全与环境学报, 2017, 17(6): 2109-2113.
CUI T J, LI S S, MA Y D. The realization and knowledge of the cloud factor importance and the factor joint importance in SFT [J]. Journal of Safety and Environment, 2017, 17(6): 2109-2113.
[18] 崔铁军, 李莎莎, 王来贵. 完备与不完备背景关系中蕴含的系统功能结构分析[J]. 计算机科学, 2017, 44(3): 268-273.
CUI T J, LI S S, WANG L G. System function structure analysis in the complete and incomplete background relationship [J]. Computer Science, 2017, 44(3): 268-273.
[19] 崔铁军, 李莎莎, 王来贵. 基于属性圆的多属性决策云模型构建与可靠性分析应用[J]. 计算机科学, 2017, 44(5): 111-115.
CUI T J, LI S S, WANG L G. Multi attribute decision making model based on attribute circle and application of reliability analysis [J]. Computer Science, 2017, 44(5): 111-115.
[20] 崔铁军, 李莎莎, 马云东, 等. 不同元件构成系统中元件维修率分布确定[J]. 系统科学与数学, 2017, 37(5): 1309-1318.
CUI T J, LI S S, MA Y D, et al. Determine component maintenance rate distribution in the system with different components [J]. Journal of Systems Science and Mathematical Sciences, 2017, 37(5): 1309-1318.
[21] 何华灿. 重新找回人工智能的可解释性[J]. 智能系统学报, 2019(3): 1-21.
HE H C. Refinding the interpretability of artificial intelligence [J]. CAAI transactions on Intelligent Systems, 2019(3): 1-21.
[22] 何华灿. 泛逻辑学理论——机制主义人工智能理论的逻辑基础[J]. 智能系统学报, 2018, 13(1): 19-36.
HE H C. Universal logic theory: logical foundation of mechanism-based artificial intelligence theory [J]. CAAI Transactions on Intelligent Systems, 2018, 13(1): 19-36.
[23] 崔铁军, 马云东. 多维空间故障树构建及应用研究[J]. 中国安全科学学报, 2013, 23(4): 32-37.
CUI T J, MA Y D. Research on multi-dimensional space fault tree construction and application [J]. China Safety Science Journal, 2013, 23(4): 32-37.

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The Determination Method for Fault Probability Distribution of Target Event Based on Fault Mode of SFN

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