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Chemical Engineering Communications Volume 143, 1996 - Issue 1
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Original Articles

FAULT DETECTION AND DIAGNOSIS IN BATCH AND SEMI-BATCH PROCESSES USING ARTIFICIAL NEURAL NETWORKS

CHII-SHANG TSAI Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan, 70101, Republic of China
,
CHUEI-TIN CHANG Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan, 70101, Republic of ChinaView further author information
&
CHAO-SHIOU CHEN Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan, 70101, Republic of China
Pages 39-71 | Received 22 Sep 1994, Accepted 01 Aug 1995, Published online: 10 May 2007

Citations (7)

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Read on this site (1)

Rahul Shrivastava, Hari Mahalingam & N. N. Dutta. (2017) Application and Evaluation of Random Forest Classifier Technique for Fault Detection in Bioreactor Operation. Chemical Engineering Communications 204:5, pages 591-598.
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Articles from other publishers (6)

Rongrong Sun & Yingwei Zhang. (2016) Fault Diagnosis for a Multiblock Batch Process Based on Intermediate Block Dependency Analysis Reconstruction. Industrial & Engineering Chemistry Research 55:46, pages 12027-12037.
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Chuangxin He, Yanming Li, Yixiang Huang, Chengliang Liu & Shengwei Fei. (2009) Relevance Vector Machine Based Gear Fault Detection. Relevance Vector Machine Based Gear Fault Detection.
R. Srinivasan, C. Wang, W.K. Ho & K.W. Lim. (2005) Neural network systems for multi-dimensional temporal pattern classification. Computers & Chemical Engineering 29:5, pages 965-981.
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M Perzyk & A Kochański. (2005) Detection of causes of casting defects assisted by artificial neural networks. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217:9, pages 1279-1284.
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S.J. Lou, H. Budman & T.A. Duever. (2003) Comparison of fault detection techniques. Journal of Process Control 13:5, pages 451-464.
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Sheng-Yung Chang, Cheng-Ren Lin & Chuei-Tin Chang. (2002) A fuzzy diagnosis approach using dynamic fault trees. Chemical Engineering Science 57:15, pages 2971-2985.
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