[1]崔铁军,李莎莎.系统故障因果关系分析的智能驱动方式研究[J].智能系统学报,2021,16(1):92-97.[doi:10.11992/tis.202003001]
 CUI Tiejun,LI Shasha.Intelligent analysis of system fault data and fault causal relationship[J].CAAI Transactions on Intelligent Systems,2021,16(1):92-97.[doi:10.11992/tis.202003001]
点击复制

系统故障因果关系分析的智能驱动方式研究(/HTML)
分享到:

《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第16卷
期数:
2021年1期
页码:
92-97
栏目:
学术论文—智能系统
出版日期:
2021-01-05

文章信息/Info

Title:
Intelligent analysis of system fault data and fault causal relationship
作者:
崔铁军1 李莎莎2
1. 辽宁工程技术大学 安全科学与工程学院,辽宁 阜新 123000;
2. 辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105
Author(s):
CUI Tiejun1 LI Shasha2
1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;
2. School of business administration, Liaoning Technical University, Huludao 125105, China
关键词:
安全系统工程故障数据因果关系智能科学智能分析空间故障树因素空间驱动方式
Keywords:
safety system engineeringfault datacausal relationshipintelligent scienceintelligent analysisspace fault treefactor spacedriving mode
分类号:
X913;C931.1;TP18
DOI:
10.11992/tis.202003001
摘要:
为适应未来智能环境和安全领域的故障数据分析需求,本文提出系统故障因果关系分析思想。论述了通过数理统计方法分析系统故障数据存在的问题,研究了系统故障的相关性和关联性,前者基于故障数据反应故障表象;后者基于故障概念反应故障本质。将智能情况下的故障因果分析划分为4个层次,包括数据驱动、因素驱动、数据?因素驱动、数据?因素?假设驱动。该方法的特点是获得广泛的故障因果关系,深入了解因果关系,两者兼顾和更接近于人的思维。4种驱动对故障因果分析的能力依次上升,可为安全科学与智能科学结合提供渠道。
Abstract:
To meet the needs of fault data analysis in the future intelligent environment and safety field, we propose the idea of causal relationship analysis of system fault. First, the problems existing in the analysis of system fault data by mathematical statistics are discussed, the correlation and relevance of system fault are studied, showing that the former is based on faulty data, reflecting the fault representation; the latter is based on fault concept, reflecting fault essence. The fault causal analysis in the intelligent situation is divided into four levels: data driven, factor driven, data-factor driven, and data-factor-hypothesis driven. Their characteristics are to separately obtain and understand a wide range of fault causal relationships, both considering and closer to human thought. The ability of the four drivers to analyze the fault causal relationship increases in turn, it can provide a channel for combining safety science and intelligent science.

参考文献/References:

[1] 魏爽. 光纤通信故障数据智能检测算法设计[J]. 激光杂志, 2019, 40(11):118-122
WEI Shuang. Design of intelligent detection algorithm for fault data of optical fiber communication[J]. Laser journal, 2019, 40(11):118-122
[2] 顾煜炯, 杨楠, 陈东超, 等. 利用故障因果信息的汽轮机故障智能诊断研究[J]. 噪声与振动控制, 2019, 39(4):12-19
GU Yujiong, YANG Nan, CHEN Dongchao, et al. Study on intelligent fault diagnosis of steam turbines using fault causality information[J]. Noise and vibration control, 2019, 39(4):12-19
[3] 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):853-864
CUI Tiejun, WANG Peizhuang. Intelligent reliability analysis method based on space fault tree and factor space[J]. CAAI transactions on intelligent systems, 2019, 14(5):853-864
[4] 高欣, 刁新平, 刘婧, 等. 基于模型自适应选择融合的智能电表故障多分类方法[J]. 电网技术, 2019, 43(6):1955-1961
GAO Xin, DIAO Xinping, LIU Jing, et al. A multi-classification method of smart meter fault type based on model adaptive selection fusion[J]. Power system technology, 2019, 43(6):1955-1961
[5] 姜学朴, 吴港, 孙婷, 等. 智能变电站网络设备故障的快速准确定位技术[J]. 电测与仪表, 2019, 56(8):94-98
JIANG Xuepu, WU Gang, SUN Ting, et al. Fast and accurate location technology of network equipment fault in smart substation[J]. Electrical measurement and instrumentation, 2019, 56(8):94-98
[6] 岑华. 基于PLC的智能电表运行故障监控系统设计[J]. 制造业自动化, 2018, 40(11):138-141
CEN Hua. Design of intelligent meter operation fault monitoring system based on PLC[J]. Manufacturing automation, 2018, 40(11):138-141
[7] 郑安刚, 张密, 曲明钰, 等. 基于贝叶斯网络的智能电能表故障类型预测[J]. 电测与仪表, 2018, 55(21):143-147
ZHENG Angang, ZHANG Mi, QU Mingyu, et al. Prediction of the fault type of smart meters based on the bayesian network[J]. Electrical measurement and instrumentation, 2018, 55(21):143-147
[8] 冷喜武, 陈国平, 蒋宇, 等. 智能电网监控运行大数据应用模型构建方法[J]. 电力系统自动化, 2018, 42(20):115-123
LENG Xiwu, CHEN Guoping, JIANG Yu, et al. Model construction method of big data application for monitoring and control of smart grid[J]. Automation of electric power systems, 2018, 42(20):115-123
[9] 崔铁军, 李莎莎. 安全科学中的故障信息转换定律[J]. 智能系统学报, 2020, 15(2):360-366.
CUI Tiejun, LI Shasha. The conversion law of fault information in safety science[J]. CAAI transactions on intelligent systems, 2020, 15(2):360-366.
[10] 崔铁军, 马云东. 基于因素空间的煤矿安全情况区分方法的研究[J]. 系统工程理论与实践, 2015, 35(11):2891-2897
CUI Tiejun, MA Yundong. Research on the classification method about coal mine safety situation based on the factor space[J]. Systems engineering theory and practice, 2015, 35(11):2891-2897
[11] 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):2169-2174
CUI Tiejun, MA Yundong. Definition of attribute circle in factor space and its application in object classification[J]. Computer engineering and science, 2015, 37(11):2169-2174
[12] 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):56-63
CUI Teijun, MA Yundong. Research on the similarity of object classification of attribute circular and application based on factors space[J]. Fuzzy system and mathematics, 2015, 29(6):56-63
[13] 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):268-273,306
CUI Tiejun, LI Shasha, WANG Laigui. System function structure analysis in the complete and incomplete background relationship[J]. Computer science, 2017, 44(3):268-273,306
[14] 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):32-37,62
CUI Tiejun, MA Yundong. Research on multi-dimensional space fault tree construction and application[J]. China safety science journal, 2013, 23(4):32-37,62
[15] 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 Tiejun, WANG Peizhuang, MA Yundong. Inward analysis of system factor structure in 01 space fault tree[J]. Systems engineering theory and practice, 2016, 36(8):2152-2160
[16] 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 Tiejun, LI Shasha. Revision of the space fault tree and the space fault network system[J]. Journal of safety and environment, 2019, 19(2):399-405
[17] PEARL J, MACKENZIE D. The book of why:the new science of cause and effect[M]. New York:Basic Books, 2018.
[18] WANG P Z, SUGENO M. The factors field and background structure for fuzzy subsets[J]. Fuzzy mathematics, 1982, 2(2):45-54.
[19] CUI Tiejun, LI Shasha. System movement space and system mapping theory for reliability of IoT[J]. Future generation computer systems, 2020, 107:70-81.
[20] 崔铁军, 李莎莎. 系统运动空间与系统映射论的初步探讨[J]. 智能系统学报, 2020, 15(3):445-451
CUI Tiejun, LI Shasha. Preliminary study of system movement space and system mapping theory[J]. CAAI transactions on intelligent systems, 2020, 15(3):445-451
[21] 汪培庄. 因素空间理论——机制主义人工智能理论的数学基础[J]. 智能系统学报, 2018, 13(1):37-54
WANG Peizhuang. Factor space-mathematical basis of mechanism based artificial intelligence theory[J]. CAAI transactions on intelligent systems, 2018, 13(1):37-54
[22] 汪培庄. 因素空间与数据科学[J]. 辽宁工程技术大学学报(自然科学版), 2015, 34(2):273-280
WANG Peizhuang. Factor spaces and data science[J]. Journal of Liaoning Technical University(Natural Science), 2015, 34(2):273-280
[23] 汪培庄, 郭嗣琮, 包研科, 等. 因素空间中的因素分析法[J]. 辽宁工程技术大学学报(自然科学版), 2014, 33(7):865-870
WANG Peizhuang, GUO Sicong, BAO Yanke, et al. Causality analysis in factor spaces[J]. Journal of Liaoning Technical University(Natural Science), 2014, 33(7):865-870

相似文献/References:

[1]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):853.[doi:10.11992/tis.201807022]
 CUI Tiejun,WANG Peizhuang.Intelligent reliability analysis method based on space fault tree and factor space[J].CAAI Transactions on Intelligent Systems,2019,14(1):853.[doi:10.11992/tis.201807022]
[2]崔铁军,李莎莎.少故障数据条件下SFEP最终事件发生概率分布确定方法[J].智能系统学报,2020,15(1):136.[doi:10.11992/tis.201911002]
 CUI Tiejun,LI Shasha.Determination method of target event occurrence probability in SFEP under the condition of less fault data[J].CAAI Transactions on Intelligent Systems,2020,15(1):136.[doi:10.11992/tis.201911002]
[3]崔铁军,李莎莎.SFEP文本因果关系提取及其与SFN转化研究[J].智能系统学报,2020,15(5):998.[doi:10.11992/tis.201907021]
 CUI Tiejun,LI Shasha.Causality extraction of SFEP text and its conversion to SFN[J].CAAI Transactions on Intelligent Systems,2020,15(1):998.[doi:10.11992/tis.201907021]
[4]崔铁军,李莎莎.空间故障网络的柔性逻辑描述[J].智能系统学报,2021,16(3):552.[doi:10.11992/tis.202003029]
 CUI Tiejun,LI Shasha.Flexible logic description of space fault network[J].CAAI Transactions on Intelligent Systems,2021,16(1):552.[doi:10.11992/tis.202003029]
[5]崔铁军,李莎莎.人工智能系统故障分析原理研究[J].智能系统学报,2021,16(4):785.[doi:10.11992/tis.202003046]
 CUI Tiejun,LI Shasha.Research on system fault analysis principle based on artificial intelligence system[J].CAAI Transactions on Intelligent Systems,2021,16(1):785.[doi:10.11992/tis.202003046]
[6]崔铁军,李莎莎.线性熵的系统故障熵模型及其时变研究[J].智能系统学报,2021,16(6):1136.[doi:10.11992/tis.202006034]
 CUI Tiejun,LI Shasha.System fault entropy model and its time-varying based on linear entropy[J].CAAI Transactions on Intelligent Systems,2021,16(1):1136.[doi:10.11992/tis.202006034]
[7]崔铁军,李莎莎.基于集对分析的SFT特征函数重构及性质研究[J].智能系统学报,2022,17(1):131.[doi:10.11992/tis.202007020]
 CUI Tiejun,LI Shasha.Reconstruction of SFT characteristic function and its properties based on set pair analysis[J].CAAI Transactions on Intelligent Systems,2022,17(1):131.[doi:10.11992/tis.202007020]

备注/Memo

备注/Memo:
收稿日期:2020-03-01。
基金项目:国家自然科学基金项目(52004120, 51704141);国家重点研发计划项目 (2017YFC1503102);辽宁省教育厅科学研究项目 (LJ2020QNL018);辽宁工程技术大学学科创新团队项目 (LNTU20TD-31)
作者简介:崔铁军,副教授,博士,主要研究方向为系统可靠性及系统故障演化理论,主持国家自然科学基金项目1项,授权发明专利22项。获得多项国家及省部级奖励。发表学术论文200余篇,出版专著5部;李莎莎,讲师,博士,主要研究方向为系统可靠性及安全管理,国家自然科学基金项目评审专家,主持国家自然科学基金项目1项,授权发明专利5项。发表学术论文20余篇,出版专著3部
通讯作者:崔铁军. E-mail:ctj.159@163.com
更新日期/Last Update: 2021-02-25