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Bi X, Qin R, Wu D, Zheng S, Zhao J. One step forward for smart chemical process fault detection and diagnosis. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107884] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Ziaei-Halimejani H, Zarghami R, Mansouri SS, Mostoufi N. Data-Driven Fault Diagnosis of Chemical Processes Based on Recurrence Plots. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c06307] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Hooman Ziaei-Halimejani
- Multiphase Systems Research Lab, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155/4563, Iran
| | - Reza Zarghami
- Multiphase Systems Research Lab, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155/4563, Iran
| | - Seyed Soheil Mansouri
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228A, 2800 Kongens Lyngby, Denmark
| | - Navid Mostoufi
- Multiphase Systems Research Lab, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155/4563, Iran
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A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106755] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Abnormal Condition Monitoring of Workpieces Based on RFID for Wisdom Manufacturing Workshops. SENSORS 2015; 15:30165-86. [PMID: 26633418 PMCID: PMC4721710 DOI: 10.3390/s151229789] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Revised: 11/20/2015] [Accepted: 11/23/2015] [Indexed: 11/16/2022]
Abstract
Radio Frequency Identification (RFID) technology has been widely used in many fields. However, previous studies have mainly focused on product life cycle tracking, and there are few studies on real-time status monitoring of workpieces in manufacturing workshops. In this paper, a wisdom manufacturing model is introduced, a sensing-aware environment for a wisdom manufacturing workshop is constructed, and RFID event models are defined. A synthetic data cleaning method is applied to clean the raw RFID data. The Complex Event Processing (CEP) technology is adopted to monitor abnormal conditions of workpieces in real time. The RFID data cleaning method and data mining technology are examined by simulation and physical experiments. The results show that the synthetic data cleaning method preprocesses data well. The CEP based on the Rifidi(®) Edge Server technology completed abnormal condition monitoring of workpieces in real time. This paper reveals the importance of RFID spatial and temporal data analysis in real-time status monitoring of workpieces in wisdom manufacturing workshops.
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Pinheiro CIC, Fernandes JL, Domingues L, Chambel AJS, Graça I, Oliveira NMC, Cerqueira HS, Ribeiro FR. Fluid Catalytic Cracking (FCC) Process Modeling, Simulation, and Control. Ind Eng Chem Res 2011. [DOI: 10.1021/ie200743c] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Carla I. C. Pinheiro
- Institute for Biotechnology and Bioengineering (IBB), Department of Chemical Engineering, Instituto Superior Técnico/Universidade Técnica de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
| | - Joana L. Fernandes
- Process Design and Modeling Division, IFP Energies Nouvelles − Lyon, Rond-point de l’échangeur de Solaize, B.P. 3, 69360 Solaize, France
| | - Luís Domingues
- Institute for Biotechnology and Bioengineering (IBB), Department of Chemical Engineering, Instituto Superior Técnico/Universidade Técnica de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
| | - Alexandre J. S. Chambel
- Institute for Biotechnology and Bioengineering (IBB), Department of Chemical Engineering, Instituto Superior Técnico/Universidade Técnica de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
| | - Inês Graça
- Institute for Biotechnology and Bioengineering (IBB), Department of Chemical Engineering, Instituto Superior Técnico/Universidade Técnica de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
| | - Nuno M. C. Oliveira
- Centre for Chemical Processes Engineering and Forest Products (CIEPQPF), Department of Chemical Engineering, Universidade de Coimbra, R. Sílvio Lima − Pólo II, 3030-790 Coimbra, Portugal
| | - Henrique S. Cerqueira
- ATP Engenharia, Rua São José 90/2201-C, 20010-020 Centro, Rio de Janeiro, RJ, Brazil
| | - Fernando Ramôa Ribeiro
- Institute for Biotechnology and Bioengineering (IBB), Department of Chemical Engineering, Instituto Superior Técnico/Universidade Técnica de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
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Data flow modeling, data mining and QSAR in high-throughput discovery of functional nanomaterials. Comput Chem Eng 2011. [DOI: 10.1016/j.compchemeng.2010.04.018] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Liu J, Chen DS. Operational Performance Assessment and Fault Isolation for Multimode Processes. Ind Eng Chem Res 2010. [DOI: 10.1021/ie901634r] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jialin Liu
- Department of Information Management, Fortune Institute of Technology, 1-10, Nwongchang Rd., Neighborhood 28, Lyouciyou Village, Daliao Township, Kaohsiung Country, Taiwan, Republic of China
| | - Ding-Sou Chen
- New Materials Research & Development Department, China Steel Corporation, 1, Chung Kang Road, Hsiao Kang, Kaohsiung, Taiwan, Republic of China
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Ma CY, Wang XZ. Inductive data mining based on genetic programming: Automatic generation of decision trees from data for process historical data analysis. Comput Chem Eng 2009. [DOI: 10.1016/j.compchemeng.2009.04.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Liu J, Chen DS. Fault Detection and Identification Using Modified Bayesian Classification on PCA Subspace. Ind Eng Chem Res 2009. [DOI: 10.1021/ie801243z] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jialin Liu
- Department of Information Management, Fortune Institute of Technology, 1-10, Nwongchang Rd., Neighborhood 28, Lyouciyou Village, Daliao Township, Kaohsiung County, Taiwan, Republic of China
| | - Ding-Sou Chen
- New Materials Research & Development Department, China Steel Corporation, 1, Chung Kang Rd., Hsiao Kang, Kaohsiung, Taiwan, Republic of China
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Affiliation(s)
- Jialin Liu
- Department of Information Management, Fortune Institute of Technology, 125−8, Chyi-Wen Rd., Chyi-Shan 842 Kaohsiung Country, Taiwan, Republic of China
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Kwak C, Yih Y. Data-Mining Approach to Production Control in the Computer-Integrated Testing Cell. ACTA ACUST UNITED AC 2004. [DOI: 10.1109/tra.2003.819595] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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YANG TAHO, TSAI TSUNGNAN. Modeling and implementation of a neurofuzzy system for surface mount assembly defect prediction and control. ACTA ACUST UNITED AC 2002. [DOI: 10.1080/07408170208928900] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Chen F, Wang X. An integrated data mining system and its application to process operational data analysis. Comput Chem Eng 1999. [DOI: 10.1016/s0098-1354(99)80193-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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