[1] KUHN D R, WALLACE D R, GALLO A M.Software fault interactions and implications for software testing[J].IEEE Transactions on Software Engineering, 2004, 30(6):418-421. [2] 杜诗晴, 王鹏, 汪卫.一种基于MDL的日志序列模式挖掘算法[J].计算机工程, 2021, 47(2):118-125. DU S Q, WANG P, WANG W.A MDL-based pattern mining algorithm for log sequences[J].Computer Engineering, 2021, 47(2):118-125.(in Chinese) [3] 贾统, 李影, 吴中海.基于日志数据的分布式软件系统故障诊断综述[J].软件学报, 2020, 31(7):1997-2018. JIA T, LI Y, WU Z H.Survey of state-of-the-art log-based failure diagnosis[J].Journal of Software, 2020, 31(7):1997-2018.(in Chinese) [4] WANG J Q, FANG F, YI X J, et al.Dynamic event-triggered fault estimation and sliding mode fault-tolerant control for networked control systems with sensor faults[J].Applied Mathematics and Computation, 2021, 389(C):1-10. [5] 唐余, 薛智爽, 刘小芳, 等.基于故障观测器的多无人机姿态一致性控制[J].计算机工程, 2021, 47(3):311-320. TANG Y, XUE Z S, LIU X F, et al.Attitude consistency control of multiple UAVs based on fault observer[J].Computer Engineering, 2021, 47(3):311-320.(in Chinese) [6] COHEN J, JIANG B Y, NI J.Machine learning for diagnosis of event synchronization faults in discrete manufacturing systems[J].Journal of Manufacturing Science and Engineering, 2022, 144(7):1-31. [7] CHANG S H, MERABTI M, MOKHTAR H.A causal model method for fault diagnosis in wireless sensor networks[C]//Proceedings of the 10th IEEE International Conference on Computer and Information Technology.Washington D.C., USA:IEEE Press, 2010:155-162. [8] YANG H, WANG B H, YAO Q Y, et al.Efficient hybrid multi-faults location based on hopfield neural network in 5G coexisting radio and optical wireless networks[J].IEEE Transactions on Cognitive Communications and Networking, 2019, 5(4):1218-1228. [9] 王卫华, 应时, 贾向阳, 等.一种基于日志聚类的多类型故障预测方法[J].计算机工程, 2018, 44(7):67-73. WANG W H, YING S, JIA X Y, et al.A multi-type failure prediction method based on log clustering[J].Computer Engineering, 2018, 44(7):67-73.(in Chinese) [10] BONNEVAY S, CUGLIARI J, GRANGER V.Predictive maintenance from event logs using wavelet-based features:an industrial application[C]//Proceedings of International Workshop on Soft Computing Models in Industrial and Environmental Applications.Berlin, Germany:Springer, 2019:132-141. [11] SUN C H, WANG X, ZHENG Y H.Data-driven approach for spatiotemporal distribution prediction of fault events in power transmission systems[J].International Journal of Electrical Power & Energy Systems, 2019, 113:726-738. [12] AGGARWAL P, NAGAR S, GUPTA A, et al.Causal modeling based fault localization in cloud systems using golden signals[C]//Proceedings of the 14th International Conference on Cloud Computing.Washington D.C., USA:IEEE Press, 2021:124-135. [13] ENTNER D, HOYER P O.On causal discovery from time series data using FCI[EB/OL].[2021-10-11].https://www.researchgate.net/publication/268324455_On_Causal_Discovery_from_Time_Series_Data_using_FCI. [14] RUNGE J, NOWACK P, KRETSCHMER M, et al.Detecting and quantifying causal associations in large nonlinear time series datasets[J].Science Advances, 2019, 5(11):1-10. [15] SCHREIBER T.Measuring information transfer[EB/OL].[2021-10-11].https://arxiv.org/abs/nlin/0001042. [16] NOVELLI L, WOLLSTADT P, MEDIANO P, et al.Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing[J].Network Neuroscience, 2019, 3(3):827-847. [17] XU H T, FARAJTABAR M, ZHA H Y.Learning granger causality for Hawkes processes[EB/OL].[2021-10-11].https://arxiv.org/abs/1602.04511. [18] LUO D X, XU H T, ZHEN Y, et al.Multi-task multi-dimensional Hawkes processes for modeling event sequences[C]//Proceedings of the 24th International Joint Conference on Artificial Intelligence.New York, USA:ACM Press, 2015:1-10. [19] ZHOU K, ZHA H Y, SONG L.Learning social infectivity in sparse low-rank networks using multi-dimensional Hawkes processes[C]//Proceedings of International Conference on Artificial Intelligence and Statistics.[S.l.]:PMLR, 2013:641-649. [20] HAWKES A G.Spectra of some self-exciting and mutually exciting point processes[J].Biometrika, 1971, 58(1):83-90. [21] EICHLER M, DAHLHAUS R, DUECK J.Graphical modeling for multivariate Hawkes processes with nonparametric link functions[J].Journal of Time Series Analysis, 2017, 38(2):225-242. [22] FLORENS J P, FOUGERE D.Noncausality in continuous time[J].Econometrica:Journal of the Econometric Society, 1996, 64(5):1195-1212. [23] CHEN J M, HAWKES A G, SCALAS E, et al.Performance of information criteria used for model selection of Hawkes process models of financial data[EB/OL].[2021-10-11].https://www.doc88.com/p-1438604213274.html?r=1. [24] TSAMARDINOS I, BROWN L E, ALIFERIS C F.The max-min hill-climbing Bayesian network structure learning algorithm[J].Machine Learning, 2006, 65(1):31-78. [25] CHICKERING D M.Optimal structure identification with greedy search[J].Journal of Machine Learning Research, 2002, 3(NOV):507-554. |