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International Journal of Production Research Volume 44, 2006 - Issue 12
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Original Articles

Online monitoring and diagnosis of batch processes: empirical model-based framework and a case study

Hyun-Woo Cho Department of Industrial and Information Engineering, University of Tennessee, Knoxville, TN 37996, USACorrespondence[email protected]
,
Kwang-Jae Kim Division of Mechanical and Industrial Engineering, Pohang University of Science and Technology, Pohang (POSTECH), Kyungbuk, 790-784, Republic of Korea
&
Myong K. Jeong Department of Industrial and Information Engineering, University of Tennessee, Knoxville, TN 37996, USA
Pages 2361-2378 | Received 01 Sep 2005, Published online: 22 Feb 2007

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Miriam Ramos, José Ascencio, Miriam Vanessa Hinojosa, Francisco Vera, Omar Ruiz, María Isabel Jimenez-Feijoó & Purificación Galindo. (2021) Multivariate statistical process control methods for batch production: a review focused on applications. Production & Manufacturing Research 9:1, pages 33-55.
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Articles from other publishers (2)

Hyun-Woo Cho. (2009) A data mining-based subset selection for enhanced discrimination using iterative elimination of redundancy. Expert Systems with Applications 36:2, pages 1355-1361.
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Hyun-Woo Cho. (2009) Data description and noise filtering based detection with its application and performance comparison. Expert Systems with Applications 36:1, pages 434-441.
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