[1]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.[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):136-143.[doi:10.11992/tis.201911002]
点击复制

少故障数据条件下SFEP最终事件发生概率分布确定方法

参考文献/References:
[1] 崔铁军, 李莎莎, 朱宝岩. 空间故障网络及其与空间故障树的转换[J]. 计算机应用研究, 2019, 36(8): 2400–2403
CUI Tiejun, LI Shasha, ZHU Baoyan. Construction space fault network and recognition network structure characteristic[J]. Application research of computers, 2019, 36(8): 2400–2403
[2] 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
[3] 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.
[4] 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
[5] 崔铁军. 空间故障树理论研究[D]. 阜新: 辽宁工程技术大学, 2015.
CUI Tiejun. Research on space fault tree theory[D]. Fuxin: Liaoning Technology University, 2015.
[6] 崔铁军, 马云东. 基于多维空间事故树的维持系统可靠性方法研究[J]. 系统科学与数学, 2014, 34(6): 682–692
CUI Teijun, MA Yundong. Research on the maintenance method of system reliability based on multi-dimensional space fault tree[J]. Journal of systems science and mathematical sciences, 2014, 34(6): 682–692
[7] 崔铁军, 马云东. 系统可靠性决策规则发掘方法研究[J]. 系统工程理论与实践, 2015, 35(12): 3210–3216
CUI Tiejun, MA Yundong. The method research on decision criterion discovery of system reliability[J]. Systems engineering—theory & practice, 2015, 35(12): 3210–3216
[8] 崔铁军, 马云东. DSFT的建立及故障概率空间分布的确定[J]. 系统工程理论与实践, 2016, 36(4): 1081–1088
CUI Tiejun, MA Yundong. Discrete space fault tree construction and failure probability space distribution determination[J]. Systems engineering—theory & practice, 2016, 36(4): 1081–1088
[9] 崔铁军, 马云东. DSFT中因素投影拟合法的不精确原因分析[J]. 系统工程理论与实践, 2016, 36(5): 1340–1345
CUI Tiejun, MA Yundong. Inaccurate reason analysis of the factors projection fitting method in DSFT[J]. Systems engineering—theory & practice, 2016, 36(5): 1340–1345
[10] LI Shasha, CUI Tiejun, LIU Jian. Study on the construction and application of cloudization space fault tree[J]. Cluster computing, 2019, 22(3): 5613–5633.
[11] CUI Tiejun, LI Shasha. Study on the construction and application of discrete space fault tree modified by fuzzy structured element[J]. Cluster computing, 2019, 22(3): 6563–6577.
[12] 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 & practice, 2016, 36(8): 2152–2160
[13] CUI Tiejun, WANG Peizhuang, LI Shasha. The function structure analysis theory based on the factor space and space fault tree[J]. Cluster computing, 2017, 20(2): 1387–1399.
[14] 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
[15] CUI Tiejun, LI Shasha. Study on the relationship between system reliability and influencing factors under big data and multi-factors[J]. Cluster computing, 2019, 22(4): 10275–10297.
[16] LI Shasha, CUI Tiejun, LIU Jian. Research on the clustering analysis and similarity in factor space[J]. International journal of computer systems science & engineering, 2018, 33(5): 397–404.
[17] 吴昀璞, 金炜东, 任俊箫. 基于孪生卷积网络的高速列车转向架故障辨识[J]. 系统仿真学报, 2019, 31(11): 2562–2568
WU Yunpu, JIN Weidong, REN Junxiao. Fault identification of high-speed train bogie based on Siamese convolutional neural network[J]. Journal of system simulation, 2019, 31(11): 2562–2568
[18] 刘俊辰, 唐文秀, 金剑桥, 等. 基于改进SVDD算法的升降机轴承故障检测研究[J]. 重庆理工大学学报(自然科学), 2019, 33(7): 66–73
LIU Junchen, TANG Wenxiu, JIN Jianqiao, et al. Bearing fault detection method of elevator based on improved SVDD algorithm[J]. Journal of chongqing university of technology (natural science edition), 2019, 33(7): 66–73
[19] 张青青. 基于改进AlexNet的滚动轴承变工况故障诊断研究[D]. 兰州: 兰州理工大学, 2019.
ZHANG Qingqing. Research on fault diagnosis of rolling bearings under variable conditions based on improved AlexNet[D]. Lanzhou: Lanzhou University of Technology, 2019.
[20] 姜京男. 基于工况因素聚类分析的数控机床小样本可靠性建模[D]. 长春: 吉林大学, 2019.
JIANG Jinnan. Reliability modeling of NC machine tools with small samples based on clustering analysis of working conditions[D]. Changchun: Jilin University, 2019.
[21] 吕菲亚. 基于栈式自编码网络的故障诊断方法研究[D]. 杭州: 浙江大学, 2019.
LYU Feiya. Stacked autoencoder network based fault diagnosis[D]. Hangzhou: Zhejiang University, 2019.
[22] 赵江平, 丁洁, 陈敬龙. 基于GM-SVR的小样本条件下化工设备可靠性预测[J]. 中国安全生产科学技术, 2019, 15(1): 145–150
ZHAO Jiangping, DING Jie, CHEN Jinglong. Reliability prediction of chemical equipment under small sample condition based on GM and SVR[J]. Journal of safety science and technology, 2019, 15(1): 145–150
[23] 吴迪, 林国汉, 胡慧, 等. 基于指数正则化零空间鉴别分析的故障识别[J]. 系统科学与数学, 2018, 38(10): 1128–1139
WU Di, LIN Guohan, HU Hui, et al. Fault recognition based on exponential regularized null space linear discriminant analysis[J]. Journal of systems science and mathematical sciences, 2018, 38(10): 1128–1139
[24] 王妍. 小样本数据下数控刀架可靠性研究及其应用[D]. 吉林: 东北电力大学, 2018.
WANG Yan. Research and application of the reliability of CNC turret under small samples[D]. Jilin: Northeast Electric Power University, 2018.
[25] 朱孟兵. 基于小样本数据的数控机床MTBF评估[D]. 沈阳: 东北大学, 2012.
ZHU Mengbing. MTBF evaluation for CNC system based on small sample data[D]. Shenyang: Northeastern University, 2012.
[26] 渠寒花, 张国斌, 何险峰. 气象灾害形式概念分析模型[J]. 计算机工程与设计, 2019, 40(2): 516–522
QU Hanhua, ZHANG Guobin, HE Xianfeng. Formal concept analysis model of meteorological disasters[J]. Computer engineering and design, 2019, 40(2): 516–522
[27] 胡钢, 徐翔, 过秀成. 基于解释结构模型的复杂网络节点重要性计算[J]. 浙江大学学报(工学版), 2018, 52(10): 1989–1997, 2022
HU Gang, XU Xiang, GUO Xiucheng. Importance calculation of complex network nodes based on interpretive structural modeling method[J]. Journal of Zhejiang University (engineering science edition), 2018, 52(10): 1989–1997, 2022
[28] 张英, 李江涛. 基于系统动力学的数据化作战指挥模式分析[J]. 指挥控制与仿真, 2019, 41(2): 31–36
ZHANG Ying, LI Jiangtao. Analysis of data-based command based on system dynamics[J]. Command control & simulation, 2019, 41(2): 31–36
[29] 聂银燕, 林晓焕. 基于SDG的压缩机故障诊断方法研究[J]. 微电子学与计算机, 2013, 30(3): 140–142
NIE Yinyan, LIN Xiaohuan. Research on the fault diagnosis of compressor based on the SDG method[J]. Microelectronics & computer, 2013, 30(3): 140–142
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():853.[doi:10.11992/tis.201807022]
[2]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]
[3]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]
[4]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]
[5]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]
[6]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.[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():387.[doi:10.11992/tis.202011006]
[7]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]
[8]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]
[9]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]

备注/Memo

收稿日期:2019-11-06。
基金项目:国家自然科学基金项目(51704141);国家重点研发计划项目(2017YFC1503102);国家自然科学基金委主任基金项目(61350003)
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力学系统稳定性,提出和建立了空间故障树理论及空间故障网络理论。取得发明专利19项,发表学术论文100余篇,出版学术专著4部; 李莎莎,讲师,博士,主要研究方向为安全管理及其智能分析。取得发明专利5项,发表学术论文10余篇,出版学术专著2部
通讯作者:崔铁军.E-mail:ctj.159@163.com

更新日期/Last Update: 1900-01-01
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com