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IISE Transactions Volume 49, 2017 - Issue 3
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Quality & Reliability Engineering

Causation-based process monitoring and diagnosis for multivariate categorical processes

Jian LiSchool of Management and State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, P. R. ChinaCorrespondence[email protected]
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,
Kaibo LiuDepartment of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, WI, USAView further author information
&
Xiaochen XianDepartment of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, WI, USAView further author information
Pages 332-343 | Received 07 Jun 2015, Accepted 06 Sep 2016, Published online: 04 Oct 2016

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Jean-Claude Malela-Majika & Marien A. Graham. (2024) Design and implementation of distribution-free Phase-II charting schemes based on unconditional run-length percentiles. Communications in Statistics - Theory and Methods 53:1, pages 276-293.
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Kai Wang, Jian Li & Fugee Tsung. (2023) Efficient and interpretable monitoring of high-dimensional categorical processes. IISE Transactions 55:9, pages 886-900.
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Zhenyu Wu, Yanting Li, Fugee Tsung & Ershun Pan. (2023) Real-time monitoring and diagnosis scheme for IoT-enabled devices using multivariate SPC techniques. IISE Transactions 55:4, pages 348-362.
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Honghan Ye, Ziqian Zheng, Jing-Ru C. Cheng, Brock Hable & Kaibo Liu. (2023) Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale. International Journal of Production Research 0:0, pages 1-17.
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Zhiwen Fang, Wendong Li, Xin Liu, Xiaolong Pu & Dongdong Xiang. (2022) Online monitoring of high-dimensional binary data streams with application to extreme weather surveillance. Journal of Applied Statistics 49:16, pages 4122-4136.
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Hongying Jing, Jian Li & Kaizong Bai. (2022) Directional monitoring and diagnosis for covariance matrices. Journal of Applied Statistics 49:6, pages 1449-1464.
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Junjie Wang & Min Xie. (2021) Modeling and monitoring unweighted networks with directed interactions. IISE Transactions 53:1, pages 116-130.
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Dongdong Xiang, Xiaolong Pu, Dong Ding & Wenjuan Liang. (2021) An efficient charting scheme for multivariate categorical process with a sparse contingency table. Journal of Quality Technology 53:1, pages 88-105.
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Kai Yang & Peihua Qiu. (2020) Online sequential monitoring of spatio-temporal disease incidence rates. IISE Transactions 52:11, pages 1218-1233.
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Articles from other publishers (8)

M. Amine Atoui & Vincent Cocquempot. (2023) Explainable root cause and pathway analysis with robust and adaptive statistics. Computers in Industry 144, pages 103770.
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Toyosi Ademujimi & Vittaldas Prabhu. (2022) Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems. Sensors 22:4, pages 1430.
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Kaizong Bai & Jian Li. (2021) Location‐scale monitoring of ordinal categorical processes . Naval Research Logistics (NRL) 68:7, pages 937-950.
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Junjie Wang, Zhi Lin Chong & Peihua Qiu. (2021) Optimal monitoring of Poisson data with known and unknown shifts. Computers & Industrial Engineering 154, pages 107100.
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Fouzi Harrou, Ying Sun, Amanda S. Hering, Muddu Madakyaru & Abdelkader Dairi. 2021. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches 71 117 .
Xiaochen Xian, Jian Li & Kaibo Liu. (2019) Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information. IEEE Transactions on Automation Science and Engineering 16:2, pages 886-897.
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Qing He, Weiyan Liu & Junjie Wang. (2019) Change-Point Detection in Multivariate Categorical Processes With Variable Selection. IEEE Access 7, pages 73065-73075.
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Junjie Wang, Qin Su, Yue Fang & Pengwei Zhang. (2018) A multivariate sign chart for monitoring dependence among mixed-type data. Computers & Industrial Engineering 126, pages 625-636.
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