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IISE Transactions Volume 49, 2017 - Issue 9
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Quality & Reliability Engineering

Diagnostic monitoring of high-dimensional networked systems via a LASSO-BN formulation

Yan JinDepartment of Industrial and Systems Engineering, University of Washington, Seattle, WA, USAView further author information
,
Shuai HuangDepartment of Industrial and Systems Engineering, University of Washington, Seattle, WA, USACorrespondence[email protected]
View further author information
,
Guan WangNIO Automobile, Inc., San Francisco, CA, USAView further author information
&
Houtao DengInstacart, Inc., Mountain View, CA, USAView further author information
Pages 874-884 | Received 01 Oct 2015, Accepted 10 Feb 2017, Published online: 14 Jun 2017

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Hyojoong Kim & Heeyoung Kim. (2023) Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data. International Journal of Production Research 61:4, pages 1101-1113.
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Phuong Hanh Tran, Adel Ahmadi Nadi, Thi Hien Nguyen, Kim Duc Tran & Kim Phuc Tran. 2022. Control Charts and Machine Learning for Anomaly Detection in Manufacturing. Control Charts and Machine Learning for Anomaly Detection in Manufacturing 7 42 .
Dewen Yu, Junkang Guo, Qiangqiang Zhao, Dingtang Zhao & Jun Hong. (2021) Fault diagnosis for underdetermined multistage assembly processes via an enhanced Bayesian hierarchical model. Journal of Manufacturing Systems 58, pages 280-290.
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