A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 10
Issue 4
IEEE/CAA Journal of Automatica Sinica
| Citation: | W. K. Hu, X. X. Zhang, J. D. Wang, G. Yang, and Y. X. Cai, “Pattern matching of industrial alarm floods using word embedding and dynamic time warping,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 1096–1098, Apr. 2023. doi: 10.1109/JAS.2023.123594
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| [1] |
J. Wang, F. Yang, T. Chen, and S. L. Shah, “An overview of industrial alarm systems: Main causes for alarm overloading, research status, and open problems,” IEEE Trans. Autom. Science and Engineering, vol. 13, no. 2, pp. 1045–1061, 2016.
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| [2] |
ANSI/ISA-18.2: Management of Alarm Systems for the Process Industries, Durham, USA: Int. Society of Automation, 2016.
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| [3] |
M. R. Parvez, W. Hu, and T. Chen, “Comparison of the Smith-Waterman and Needleman-Wunsch algorithms for online similarity analysis of industrial alarm floods,” in Proc. IEEE Electric Power and Energy Conf., 2020, pp. 1–6.
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| [4] |
Y. Cheng, I. Izadi, and T. Chen, “Pattern matching of alarm flood sequences by a modified smith-waterman algorithm,” Chemical Engineering Research and Design, vol. 91, no. 6, pp. 1085–1094, 2013. doi: 10.1016/j.cherd.2012.11.001
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| [5] |
W. Hu, J. Wang, and T. Chen, “A local alignment approach to similarity analysis of industrial alarm flood sequences,” Control Engineering Practice, vol. 55, pp. 13–25, 2016. doi: 10.1016/j.conengprac.2016.05.021
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| [6] |
M. R. Parvez, W. Hu, and T. Chen, “Real-time pattern matching and ranking for early prediction of industrial alarm floods,” Control Engineering Practice, vol. 120, p. 105004, 2022. doi: 10.1016/j.conengprac.2021.105004
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| [7] |
B. Zhou, W. Hu, K. Brown, and T. Chen, “Generalized pattern matching of industrial alarm flood sequences via word processing and sequence alignment,” IEEE Trans. Industrial Electronics, vol. 68, no. 10, pp. 10171–10179, 2021. doi: 10.1109/TIE.2020.3026287
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| [8] |
W. Hu, T. Chen, and S. L. Shah, “Detection of frequent alarm patterns in industrial alarm floods using itemset mining methods,” IEEE Trans. Industrial Electronics, vol. 65, no. 9, pp. 7290–7300, 2018. doi: 10.1109/TIE.2018.2795573
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| [9] |
T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean, “Distributed representations of words and phrases and their compositionality,” CoRR, pp. 1–9, 2013.
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| [10] |
X. Rong, “Word2Vec parameter learning explained,” CoRR, pp. 1–21, 2014.
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| [11] |
A. Lahreche and B. Boucheham, “A fast and accurate similarity measure for long time series classification based on local extrema and dynamic time warping,” Expert Systems with Applications, vol. 168, p. 114374, 2021. doi: 10.1016/j.eswa.2020.114374
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| [12] |
J. Wen, Y. Xu, and H. Liu, “Incomplete multiview spectral clustering with adaptive graph learning,” IEEE Trans. Cybernetics, vol. 50, no. 4, pp. 1418–1429, 2020.
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| [13] |
G. Yang, W. Hu, W. Cao, and M. Wu, “Simulating industrial alarm systems by extending the public model of a vinyl acetate monomer process,” in Proc. IEEE 39th Chinese Control Conf., 2020, pp. 6093–6098.
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