[1]崔铁军,李莎莎.多因素集对分析的系统故障模式识别方法[J].智能系统学报,2022,17(2):387-392.[doi:10.11992/tis.202011006]
CUI Tiejun,LI Shasha.System fault-pattern recognition based on set pair analysis with multiple factors[J].CAAI Transactions on Intelligent Systems,2022,17(2):387-392.[doi:10.11992/tis.202011006]
点击复制
CUI Tiejun,LI Shasha.System fault-pattern recognition based on set pair analysis with multiple factors[J].CAAI Transactions on Intelligent Systems,2022,17(2):387-392.[doi:10.11992/tis.202011006]
多因素集对分析的系统故障模式识别方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
17
期数:
2022年第2期
页码:
387-392
栏目:
学术论文—人工智能基础
出版日期:
2022-03-05
- Title:
- System fault-pattern recognition based on set pair analysis with multiple factors
- Keywords:
- intelligent science; safety system engineering; space fault tree theory; multi factor influence; set pair analysis; fault pattern; recognition method; connection degree and recognition degree
- 分类号:
- TP18; X913; C931.1
- 摘要:
- 为研究多因素影响下系统故障模式识别，根据已有故障标准模式对故障样本模式进行分析，提出基于集对分析联系数和故障分布的系统故障模式识别新方法。根据故障背景建立故障模式识别系统，分析故障样本模式与故障标准模式，确定联系度各联系分量，计算联系度和识别度，最后通过确定故障样本模式与故障标准模式关系完成识别。对某电气系统实例分析给出了方法流程，获得了模式识别结果，从而为有针对性的采取预防和治理措施提供了决策支持。
- Abstract:
- To study system fault-pattern recognition under the influence of multiple factors, a sample fault pattern was analyzed according to the existing standard fault patterns. A system fault-pattern recognition method based on the set pair analysis connection number and fault distribution is proposed. On the basis of the fault data, we developed the fault-pattern recognition system, analyzed the fault sample and standard fault patterns, determined the relating components and their connection degrees, and calculated the connection and recognition degrees. Finally, the relationship between fault sample and standard fault patterns was determined to complete the identification. An example based on an electrical system analysis showed the process of the method by achieving efficient pattern recognition and proving its effectiveness. This study provides targeted decision-making support for taking preventive and governance measures.
- 参考文献/References:
-
[1] 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
[2] 王盼宝, 孙红梅, 郝鑫, 等. 基于线路电流二阶导数的中压直流系统故障识别方法[J]. 电力系统保护与控制, 2020, 48(13): 1–13
WANG Panbao, SUN Hongmei, HAO Xin, et al. DC line fault identification scheme for a medium-voltage DC power system based on the second derivative of line current[J]. Power system protection and control, 2020, 48(13): 1–13
[3] 熊中杰, 邱颖宁, 冯延晖, 等. 基于机器学习的风电机组变桨系统故障研究[J]. 太阳能学报, 2020, 41(5): 85–90
XIONG Zhongjie, QIU Yingning, FENG Yanhui, et al. Fault analysis of wind turbine pitch system based on machine learning[J]. Acta energiae solaris sinica, 2020, 41(5): 85–90
[4] 蒋佳炜, 胡以怀, 方云虎, 等. 船舶动力装置智能故障诊断技术的应用与展望[J]. 中国舰船研究, 2020, 15(1): 56–67
JIANG Jiawei, HU Yihuai, FANG Yunhu, et al. Application and prospects of intelligent fault diagnosis technology for marine power system[J]. Chinese journal of ship research, 2020, 15(1): 56–67
[5] 潘宏侠, 张玉学. 基于SST时频图纹理特征的供输弹系统故障诊断[J]. 振动与冲击, 2020, 39(6): 132–137, 175
PAN Hongxia, ZHANG Yuxue. Fault diagnosis of the ammunition supply system based on the texture features of SST time-frequency distribution image[J]. Journal of vibration and shock, 2020, 39(6): 132–137, 175
[6] 刘倪铭, 宁联辉, 高亮, 等. 混合多端直流输电系统故障线路识别方法[J]. 智慧电力, 2020, 48(3): 1–6
LIU Niming, NING Lianhui, GAO Liang, et al. Fault line identification method for multi-terminal hybrid DC transmission system[J]. Smart power, 2020, 48(3): 1–6
[7] 杨健, 杨力, 盛武. 分布式光纤扰动传感系统故障模式识别仿真[J]. 计算机仿真, 2020, 37(1): 444–447
YANG Jian, YANG Li, SHENG Wu. Simulation of fault pattern recognition method for distributed optical fiber disturbance sensing system[J]. Computer simulation, 2020, 37(1): 444–447
[8] 屈子程, 高亮, 康保林, 等. 基于多源数据的电力系统故障全信息诊断模型[J]. 电力系统保护与控制, 2019, 47(22): 59–66
QU Zicheng, GAO Liang, KANG Baolin, et al. A power system fault full information diagnosis model based on multi-source data[J]. Power system protection and control, 2019, 47(22): 59–66
[9] 巫健, 禹宁, 江冰. 一种基于模式识别的光纤通信系统故障诊断方法[J]. 半导体光电, 2019, 40(4): 581–584, 589
WU Jian, YU Ning, JIANG Bing. A fault diagnosis method for optical fiber communication system based on pattern recognition[J]. Semiconductor optoelectronics, 2019, 40(4): 581–584, 589
[10] 赵鑫, 蔡琦, 王晓龙. 基于DTW算法的参数缺失时的核动力系统故障诊断技术[J]. 原子能科学技术, 2019, 53(6): 1070–1077
ZHAO Xin, CAI Qi, WANG Xiaolong. Fault diagnosis of nuclear power system based on DTW algorithm for incomplete parameter[J]. Atomic energy science and technology, 2019, 53(6): 1070–1077
[11] 王靖岳, 王浩天, 郭立新. 齿轮传动系统故障诊断技术的研究进展[J]. 机械传动, 2016, 40(8): 185–192
WANG Jingyue, WANG Haotian, GUO Lixin. Research progress of fault diagnosis technology of gear transmission system[J]. Journal of mechanical transmission, 2016, 40(8): 185–192
[12] 董磊, 石瑞敏, 曾志强. 基于复杂网络聚类的提升机主轴系统故障诊断[J]. 振动、测试与诊断, 2016, 36(4): 688–693
DONG Lei, SHI Ruimin, ZENG Zhiqiang. Fault diagnosis for spindle system of hoist based on complex network clustering[J]. Journal of vibration, measurement & diagnosis, 2016, 36(4): 688–693
[13] 蒋云良, 赵克勤. 人工智能集对分析[M]. 北京: 科学出版社, 2017.
[14] 赵克勤. 集对分析对不确定性的描述和处理[J]. 信息与控制, 1995, 24(3): 162–166
ZHAO Keqin. A unified algebraic parameterization or stabilizing controllers for linear discrete-time systems[J]. Information and control, 1995, 24(3): 162–166
[15] 赵森烽, 赵克勤. 几何概型的联系概率(复概率)与概率的补数定理[J]. 智能系统学报, 2013, 8(1): 11–15
ZHAO Senfeng, ZHAO Keqin. Contact probability (complex probability) of the geometry probability and the complement number theorem of probability[J]. CAAI transactions on intelligent systems, 2013, 8(1): 11–15
[16] 赵森烽, 赵克勤. 概率联系数化的原理及其在概率推理中的应用[J]. 智能系统学报, 2012, 7(3): 200–205
ZHAO Senfeng, ZHAO Keqin. The principle of a connection number in probability and its application in probabilistic reasoning[J]. CAAI transactions on intelligent systems, 2012, 7(3): 200–205
[17] 赵克勤. 集对分析与熵的研究[J]. 浙江大学学报, 1992, 6(2): 65–72
ZHAO Keqin. Set pair analysis and entropy[J]. Journal of Zhejiang University, 1992, 6(2): 65–72
[18] 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 & practice, 2015, 35(11): 2891–2897
[19] 李莎莎, 崔铁军, 马云东. 基于云模型的变因素影响下系统可靠性模糊评价方法[J]. 中国安全科学学报, 2016, 26(2): 132–138
LI Shasha, CUI Tiejun, MA Yundong. Research on method for evaluating fuzzily reliability of variable factors influenced system based on cloud model[J]. China safety science journal, 2016, 26(2): 132–138
[20] 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 complete and incomplete background relationship[J]. Computer science, 2017, 44(3): 268–273, 306
[21] 崔铁军. 系统故障演化过程描述方法研究[J]. 计算机应用研究, 2020, 37(10): 3006–3009
CUI Tiejun. Research on description method of system fault evolution process[J]. Application research of computers, 2020, 37(10): 3006–3009
[22] CUI Tiejun, LI Shasha. Research on complex structures in space fault network for fault data mining in system fault evolution process[J]. IEEE access, 2019, 7: 121881–121896.
[23] 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
[24] 崔铁军, 李莎莎, 朱宝艳. 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 Tiejun, LI Shasha, ZHU Baoyan. Multidirectional ring network structure with one-way ring and its fault probability calculation[J]. China safety science journal, 2018, 28(7): 19–24
[25] 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?143.
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?143.
[26] 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
CDATA[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
- 相似文献/References:
-
[1]李德毅.AI——人类社会发展的加速器[J].智能系统学报,2017,12(5):583.[doi:10.11992/tis.201710016]
LI Deyi.Artificial intelligence:an accelerator for the development of human society[J].CAAI Transactions on Intelligent Systems,2017,12():583.[doi:10.11992/tis.201710016]
[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():136.[doi:10.11992/tis.201911002]
[3]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.[doi:10.11992/tis.201811004]
CUI Tiejun,LI Shasha.Conversion law of fault information in safety science[J].CAAI Transactions on Intelligent Systems,2020,15():360.[doi:10.11992/tis.201811004]
[4]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.[doi:10.11992/tis.201902011]
CUI Tiejun,LI Shasha.Preliminary study of system movement space and system mapping theory[J].CAAI Transactions on Intelligent Systems,2020,15():445.[doi:10.11992/tis.201902011]
[5]崔铁军,李莎莎.系统可靠-失效模型的哲学意义与智能实现[J].智能系统学报,2020,15(6):1104.[doi:10.11992/tis.202003047]
CUI Tiejun,LI Shasha.Philosophical significance and implementation of an intelligent system based on the system reliability-failure model[J].CAAI Transactions on Intelligent Systems,2020,15():1104.[doi:10.11992/tis.202003047]
[6]崔铁军,李莎莎.基于因素空间的人工智能样本选择策略[J].智能系统学报,2021,16(2):346.[doi:10.11992/tis.202003002]
CUI Tiejun,LI Shasha.Sample selection strategy of artificial intelligence based on factor space[J].CAAI Transactions on Intelligent Systems,2021,16():346.[doi:10.11992/tis.202003002]
[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():131.[doi:10.11992/tis.202007020]
[8]崔铁军,李莎莎.联系数和属性多边形的系统故障模式识别[J].智能系统学报,2022,17(3):568.[doi:10.11992/tis.202011019]
CUI Tiejun,LI Shasha.System fault pattern recognition based on the connection number and attribute polygon[J].CAAI Transactions on Intelligent Systems,2022,17():568.[doi:10.11992/tis.202011019]
[9]崔铁军,李莎莎.人和人工智能系统的概念形成过程研究[J].智能系统学报,2022,17(5):1012.[doi:10.11992/tis.202104002]
CUI Tiejun,LI Shasha.Concept formation process of human and artificial intelligence systems[J].CAAI Transactions on Intelligent Systems,2022,17():1012.[doi:10.11992/tis.202104002]
[10]崔铁军,李莎莎.系统多功能状态表达式构建及其置信度研究[J].智能系统学报,2023,18(1):124.[doi:10.11992/tis.202111022]
CUI Tiejun,LI Shasha.Construction of a system multi-function state expression andits confidence[J].CAAI Transactions on Intelligent Systems,2023,18():124.[doi:10.11992/tis.202111022]
[11]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():853.[doi:10.11992/tis.201807022]
[12]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():998.[doi:10.11992/tis.201907021]
[13]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.[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():92.[doi:10.11992/tis.202003001]
[14]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():552.[doi:10.11992/tis.202003029]
[15]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():785.[doi:10.11992/tis.202003046]
[16]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():1136.[doi:10.11992/tis.202006034]
备注/Memo
收稿日期:2020-11-04。
基金项目:国家自然科学基金项目(52004120)；辽宁省教育厅基本科研项目（LJKQZ2021157）；辽宁省教育厅科学研究经费项目(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，主要研究方向为系统可靠性及系统故障智能分析理论。提出和建立了空间故障树理论及空间故障网络理论。获得多个省及协会科技奖励，获发明专利25项，发表学术论文200余篇，出版学术专著6部;李莎莎，副教授，主要研究方向为安全管理及其智能分析方法。参加了因素空间和空间故障树理论的研究。获发明专利5项，发表学术论文20余篇，出版学术专著3部
通讯作者:崔铁军.E-mail:ctj.159@163.com
更新日期/Last Update:
1900-01-01