1 |
LIUH,PID C,QIUS Y,et al.Data-driven identification model for associated fault propagation path[J].Measurement,2022,188,110628.
doi: 10.1016/j.measurement.2021.110628
|
2 |
AMINM T,KHANF,IMTIAZS.Fault detection and pathway analysis using a dynamic bayesian network[J].Chemical Engineering Science,2019,195(23):777-790.
|
3 |
OHLEFH,BINROTHW,HABOUSHR.Statistical model for a failure mode and effects analysis and its application to computer fault-tracing[J].IEEE Trans.on Reliability,1978,27(1):16-22.
|
4 |
HUANGX L,GAOJ M,JIANGH Q,et al.Fault root cause tracing of complicated equipment based on fault graph[J].Proceedings of Institution of Mechanical Engineers Part E: Journal of Process Mechanical Engineering,2012,227(1):17-32.
|
5 |
YUJ,RASHIDM M.A novel dynamic Bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis[J].AIChE Journal,2013,59(7):2348-2365.
doi: 10.1002/aic.14013
|
6 |
DUANS Y,ZHAOC H,WUM.Multiscale partial symbolic transfer entropy for time-delay root cause diagnosis in nonstationary industrial processes[J].IEEE Trans.on Industrial Electronics,2022,70(2):2015-2025.
|
7 |
OLIVEIRAE E,MIGUÉISV L,BORGESJ L.Automatic root cause analysis in manufacturing: an overview & conceptualization[J].Journal of Intelligent Manufacturing,2023,34(5):2061-2078.
doi: 10.1007/s10845-022-01914-3
|
8 |
马亮,彭开香,董洁.工业过程故障根源诊断与传播路径识别技术综述[J].自动化学报,2022,48(7):1650-1663.
doi: 10.16383/j.aas.c200257
|
|
MAL,PENGK X,DONGJ.Review of root cause diagnosis and propagation path identification techniques for faults in industrial processes[J].Acta Automatica Sinica,2022,48(7):1650-1663.
doi: 10.16383/j.aas.c200257
|
9 |
ALIH,MAULUDA S,ZABIRIH,et al.Multiscale principal component analysis-signed directed graph based process monitoring and fault diagnosis[J].ACS Omega,2022,7(11):9496-9512.
doi: 10.1021/acsomega.1c06839
|
10 |
唐鹏,彭开香,董洁.一种新颖的深度因果图建模及其故障诊断方法[J].自动化学报,2022,48(6):1616-1624.
doi: 10.16383/j.aas.c200996
|
|
TANGP,PENGK X,DONGJ.A novel method for deep casuality graph modeling and fault diagnosis[J].Acta Automatica Sinica,2022,48(6):1616-1624.
doi: 10.16383/j.aas.c200996
|
11 |
MAL,DONGJ,PENGK X.A novel key performance indicator oriented hierarchical monitoring and propagation path identification framework for complex industrial processes[J].ISA Transactions,2020,96,1-13.
doi: 10.1016/j.isatra.2019.06.004
|
12 |
LANDMANR,KORTELAJ,SUNQ,et al.Fault propagation analysis of oscillations in control loops using data-driven causality and plant connectivity[J].Computers & Chemical Engineering,2014,71(4):446-456.
|
13 |
SHOJAIEA,FOXE B.Granger causality: a review and recent advances[J].Annual Review of Statistics and its Application,2022,9,289-319.
doi: 10.1146/annurev-statistics-040120-010930
|
14 |
BAUERM,THORNHILLN F,MEABURNA.Specifying the directionality of fault propagation paths using transfer entropy[J].IFAC Proceedings Volumes,2004,37(9):203-208.
doi: 10.1016/S1474-6670(17)31812-8
|
15 |
DUANP,YANGF,SHAHS L,et al.Transfer zero-entropy and its application for capturing cause and effect relationship between variables[J].IEEE Trans.on Control Systems Technology,2015,23(3):855-867.
doi: 10.1109/TCST.2014.2345095
|
16 |
何飞,杜学飞,王朝俊.基于对比格兰杰因果关系的热轧带钢头部拉窄根因诊断[J].中国机械工程,2020,31(19):2340-2346.
doi: 10.3969/j.issn.1004-132X.2020.19.010
|
|
HEF,DUX F,WANGC J.Root cause diagnosis of head narrowing in hot rolled strip based on comparative granger causality[J].China Mechanical Egnineering,2020,31(19):2340-2346.
doi: 10.3969/j.issn.1004-132X.2020.19.010
|
17 |
SUJ J,WANGD Z,ZHANGY N,et al.Capturing causality for fault diagnosis based on multi-valued alarm series using transfer entropy[J].Entropy,2019,19(12):663.
|
18 |
DUANP,CHENT W,SHAHS L.Direct causality detection via the transfer entropy approach[J].IEEE Trans.on Control Systems Technology,2013,21(6):2052-2066.
|
19 |
BARNETTL,BARRETTA B,SETHA K.Granger causality and transfer entropy are equivalent for Gaussian variables[J].Physical Review Letters,2009,103(23):238701.
|
20 |
LANDMANR,JÄMSÄ-JOUNELAS L.Fault propagation analysis by implementing nearest neighbors method using process connectivity[J].IEEE Trans.on Control Systems Technology,2019,27(5):2058-2067.
|
21 |
SMIRNOVD A.Spurious causalities with transfer entropy[J].Physical Review E,2013,87(4):042912.
|
22 |
LEEH,KIMC,LIMS,et al.Data-driven fault diagnosis for chemical processes using transfer entropy and graphical lasso[J].Computers & Chemical Engineering,2020,142(2):107064.
|
23 |
PEARLJ.Causality: model, reasoning, and inference[M].Cambridge, UK:Cambridge University Press,2009.
|
24 |
PEARLJ,MACKENZIED.The book of why: the new science of cause and effect[M].New York:Basic Books,2018.
|
25 |
KUANGK,LIL,GENGZ,et al.Causal inference[J].Engineering,2020,6(3):253-263.
|
26 |
LIUY Y,ZHIX C,SHENGL,et al.A survey on causal inference[J].ACM Trans.on Knowledge Discovery from Data,2021,15(5):74.
|
27 |
SPIRTESP,ZHANGK.Causal discovery and inference: concepts and recent methodological advances[J].Applied Informatics,2016,3(1):3.
|
28 |
GUOR C,CHENGL,LIJ D,et al.A survey of learning causality with data: Problems and methods[J].ACM Computer Surveys,2020,53(4):75.
|
29 |
DANIUSIS P, JANZING D, MOOIJ J, et al. Inferring deterministic causal relations[EB/OL]. [2022-12-05]. https://arxiv.org/abs/1203.3475.
|
30 |
穆钢,陈奇,刘洪波,等.揭示电力系统运行数据中因果关系的逆信息熵因果推理方法[J].中国电机工程学报,2022,42(15):5406-5416.
|
|
MUG,CHENQ,LIUH B,et al.A reciprocal information entropy causal inference method for exploring the cause-effect relationship in power system operation data[J].Proceedings of the CSEE,2022,42(15):5406-5416.
|
31 |
孙凌宇,冷明,谭云兰,等.赋权有向图的最小生成树算法[J].计算机工程,2010,36(2):61-63, 66.
|
|
SUNL Y,LENGM,TANY L,et al.Minimum spanning tree algotirhm of weighted directed graph[J].Computer Engineering,2010,36(2):61-63, 66.
|
32 |
贾邵华. 基于冷启动SVDD技术的模拟电路模块级故障诊断方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2020.
|
|
JIA S H. Research on fault diagnosis of analog circuit modules based on cold start SVDD theropy[D]. Harbin: Harbin Institute of Technology, 2020.
|