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Mehmet Turkoz, Sangahn Kim, Young-Seon Jeong, Myong K. (MK) Jeong, Elsayed A. Elsayed, Khalifa N. Al-Khalifa & Abdel Magid Hamouda. (2019) Bayesian framework for fault variable identification. Journal of Quality Technology 51:4, pages 375-391.
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Sung Ho Park & Seoung Bum Kim. (2019) Multivariate control charts that combine the Hotelling T2 and classification algorithms. Journal of the Operational Research Society 70:6, pages 889-897.
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Wook-Yeon Hwang. (2016) Cluster-based artificial contrasts for inhomogeneously distributed data with an indicator variable. International Journal of Production Research 54:17, pages 5045-5055.
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Articles from other publishers (18)
Nicholas Cartocci, Marcello R. Napolitano, Francesco Crocetti, Gabriele Costante, Paolo Valigi & Mario L. Fravolini. (2022) Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods. Sensors 22:7, pages 2635.
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Zhibin Zhao, Jingyao Wu, Tianfu Li, Chuang Sun, Ruqiang Yan & Xuefeng Chen. (2021) Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review. Chinese Journal of Mechanical Engineering 34:1.
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Jiacheng Wu, Shihong Yue & Haitao Ma. (2021) An experimental device for calibration of concentration and velocity of two-phase flow based on electrical impedance measurement system. An experimental device for calibration of concentration and velocity of two-phase flow based on electrical impedance measurement system.
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Younghoon Kim & Seoung Bum Kim. (2018) Optimal false alarm controlled support vector data description for multivariate process monitoring. Journal of Process Control 65, pages 1-14.
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Seulki Lee & Seoung Bum Kim. (2018) Time-adaptive support vector data description for nonstationary process monitoring. Engineering Applications of Artificial Intelligence 68, pages 18-31.
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Mehmet Turkoz, Sangahn Kim, Young-Seon Jeong, Khalifa N. Al-Khalifa & Abdel Magid Hamouda. (2016) Distribution-Free Adaptive Step-Down Procedure for Fault Identification. Quality and Reliability Engineering International 32:8, pages 2701-2716.
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Ji Hoon Kang, Jaehong Yu & Seoung Bum Kim. (2016) Adaptive nonparametric control chart for time-varying and multimodal processes. Journal of Process Control 37, pages 34-45.
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Ingkeun Park & Sungim Lee. (2015) Robust determination of control parameters in K chart with respect to data structures. Journal of the Korean Data and Information Science Society 26:6, pages 1353-1366.
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Wook-Yeon Hwang & Jong-Seok Lee. (2015) Shifting artificial data to detect system failures. International Transactions in Operational Research 22:2, pages 363-378.
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Marco Grasso, Bianca Maria Colosimo, Quirico Semeraro & Massimo Pacella. (2015) A Comparison Study of Distribution-Free Multivariate SPC Methods for Multimode Data. Quality and Reliability Engineering International 31:1, pages 75-96.
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Walid Gani & Mohamed Limam. (2014)
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Amirhossein Amiri, Changliang Zou & Mohammad H. Doroudyan. (2014) Monitoring Correlated Profile and Multivariate Quality Characteristics. Quality and Reliability Engineering International 30:1, pages 133-142.
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Walid Gani & Mohamed Limam. (2012) Performance Evaluation of One‐Class Classification‐based Control Charts through an Industrial Application. Quality and Reliability Engineering International 29:6, pages 841-854.
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Hamid Babamoradi, Frans van den Berg & Åsmund Rinnan. (2013) Comparison of bootstrap and asymptotic confidence limits for control charts in batch MSPC strategies. Chemometrics and Intelligent Laboratory Systems 127, pages 102-111.
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Tae Woo Joo & Seoung Bum Kim. (2013) A Novelty Detection Algorithm for Multiple Normal Classes : Application to TFT-LCD Processes. Journal of Korean Institute of Industrial Engineers 39:2, pages 82-89.
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Jung-Hwan Son & Seoung-Bum Kim. (2012) kNNDD-based One-Class Classification by Nonparametric Density Estimation. Journal of Korean Institute of Industrial Engineers 38:3, pages 191-197.
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