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第3期 崔铁军,等:空间故障网络的柔性逻辑描述 ·557· 参考文献: versity (natural sciences),2019,38(1):14-20,40. []张保山,张琳,张搏,等.基于故障风险标尺的复杂装备 [1]崔铁军,李莎莎,朱宝岩.空间故障网络及其与空间故障 健康状态分类模型[.系统工程与电子技术,2020, 树的转换).计算机应用研究,2019,36(8):2400-2403. 42(2):489-496 CUI Tiejun,LI Shasha,ZHU Baoyan.Construction space ZHANG Baoshan,ZHANG Lin,ZHANG Bo,et al. fault network and recognition network structure character- Equipment health classification model based on failure istic[J].Application research of computers,2019,36(8): risk scale[J].Systems engineering and electronics,2020, 2400-2403 42(2):489-496. [2]崔铁军,李莎莎,朱宝岩.含有单向环的多向环网络结构 [12]范海东,王玥,李清毅,等.基于稀疏故障演化判别分析 及其故障概率计算[).中国安全科学学报,2018,28(7): 的故障根源追溯).控制工程,2019,26(7):1239-1244. 19-24. 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Construction space fault network and recognition network structure character￾istic[J]. Application research of computers, 2019, 36(8): 2400–2403. [1] 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 Tiejun, LI Shasha, ZHU Baoyan. Multidirectional ring network structure with one-way ring and its fault probabil￾ity calculation[J]. China safety science journal, 2018, 28(7): 19–24. [2] 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. [3] 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 en￾vironment, 2019, 19(2): 399–405. [4] 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 com￾puters, 2020, 37(10): 3006–3009. [5] CUI Tiejun, LI Shasha. Research on basic theory of space fault network and system fault evolution process[J]. Neur￾al computing and applications, 2020, 32(6): 1725–1744. [6] CUI Tiejun, LI Shasha. Deep learning of system reliability under multi-factor influence based on space fault tree[J]. Neural computing and applications, 2019, 31(9): 4761–4776. [7] QIU Xiaohong, HU Yuting, LI Bo. Sequential fault dia￾gnosis using an inertial velocity differential evolution al￾gorithm[J]. International journal of automation and com￾puting, 2019, 16(3): 389–397. [8] GUEDES J J, CASTOLDI M F, GOEDTEL A, et al. Dif￾ferential evolution applied to line-connected induction mo￾tors stator fault identification[J]. Soft computing, 2019, 23(21): 11217–11226. [9] 万蔚, 黄雨晨, 王振华, 等. 突发状况下的道路网络故障 演化分析——以通州市区道路网络为例 [J]. 重庆交通 大学学报(自然科学版), 2019, 38(1): 14–20, 40. WAN Wei, HUANG Yuchen, WANG Zhenhua, et al. Evolution analysis of road network faults under emer￾gency conditions—taking Tongzhou urban road network as an example[J]. Journal of Chongqing Jiaotong Uni- [10] versity (natural sciences), 2019, 38(1): 14–20, 40. 张保山, 张琳, 张搏, 等. 基于故障风险标尺的复杂装备 健康状态分类模型 [J]. 系统工程与电子技术, 2020, 42(2): 489–496. ZHANG Baoshan, ZHANG Lin, ZHANG Bo, et al. Equipment health classification model based on failure risk scale[J]. Systems engineering and electronics, 2020, 42(2): 489–496. [11] 范海东, 王玥, 李清毅, 等. 基于稀疏故障演化判别分析 的故障根源追溯 [J]. 控制工程, 2019, 26(7): 1239–1244. FAN Haidong, WANG Yue, LI Qingyi, et al. Sparse fault degradation oriented fisher discriminant analysis based fault trace[J]. Control engineering of China, 2019, 26(7): 1239–1244. [12] 于洋洋. 面向文本数据的故障模型挖掘技术研究 [D]. 青岛: 青岛科技大学, 2019. YU Yangyang. Research on text-oriented fault model mining technology[D]. Qingdao: Qingdao University of Science & Technology, 2019. [13] 曾振城. 海底电缆短路故障演化机理和诊断方法研究 [D]. 厦门: 集美大学, 2019. ZENG Zhencheng. Research on evolution mechanism and diagnosis method of submarine cable short circuit fault[D]. Xiamen: Jimei University, 2019. [14] 李文博. 交直流混联系统连锁故障搜索方法及应用研 究 [D]. 济南: 山东大学, 2019. LI Wenbo. Research on search method and its application for cascading failures in AC/DC hybrid system[D]. Ji’ nan: Shandong University, 2019. [15] 张冕. 行星齿轮箱关键零部件故障诊断 [D]. 成都: 电子 科技大学, 2019. ZHANG Mian. Fault diagnosis of key components in planetary gearboxes[D]. Chengdu: University of Electron￾ic Science and Technology of China, 2019. [16] 丁晓兵, 周红阳, 黄佳胤, 等. 基于逻辑斯蒂回归的变压 器涌流识别 [J]. 电力系统及其自动化学报, 2020, 32(12): 77–84, 94. DING Xiaobing, ZHOU Hongyang, HUANG Jiayin, et al. Transformer inrush current identification based on logist￾ic regression[J]. Proceedings of the CSU-EPSA, 2020, 32(12): 77–84, 94. [17] 江升, 旷天亮, 李秀喜. 基于稀疏过滤特征学习的化工 过程故障检测方法 [J]. 化工学报, 2019, 70(12): 4698–4709. JIANG Sheng, KUANG Tianliang, LI Xiuxi. A chemical process fault detection method based on sparse filtering feature learning[J]. CIESC journal, 2019, 70(12): 4698–4709. [18] 高立艾, 霍利民, 黄丽华, 等. 基于贝叶斯网络时序模拟 的含微网配电系统可靠性评估 [J]. 中国电机工程学报, [19] 第 3 期 崔铁军,等:空间故障网络的柔性逻辑描述 ·557·
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