Decision fusion for reliable fault classification in energy-intensive process industries (English)
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In:
Computers in Industry
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138
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2022
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Decision fusion for reliable fault classification in energy-intensive process industries
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Contributors:
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Published in:Computers in Industry ; 138
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Publication date:2022-03-01
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:Decision fusion , Machine learning , Decision support systems , Energy-intensive industries , Fault Detection and Diagnosis (FDD) , Causality analysis , Energy efficiency , AUC , Area Under The Curve , AI , Artificial Intelligence , ANN , Artificial Neural Network , BKS , Behavior Knowledge Space , DT , Decision Tree , FN , False Negative , FP , False Positive , FDD , Fault Detection and Diagnosis , GBM , Gradient Boosting Machine , GHG , Greenhouse Gas , HRN , Heat Recovery Network , HP , High Pressure , KPI , Key Performance Indicator , kNN , k nearest neighbors , LP , Low Pressure , ML , Machine Learning , PMP , Pulp Mill Process , QDA , Quadratic Discriminant Analysis , RF , Random Forest , ROC , Receiver Operating Characteristics , SVM , Support Vector Machine , t-SNE , t-Distributed Stochastic Neighbor Embedding , TMP , Thermomechanical pulping , TN , True Negative , TP , True Positive
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Source:
Table of contents – Volume 138
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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An effective intrusion-resilient mechanism for programmable logic controllers against data tampering attacksYang, Kai / Wang, Haining / Sun, Limin et al. | 2022
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A generic interface and a framework designed for industrial metrology integration for the Internet of ThingsSousa, João / Mendonça, João Pedro / Machado, José et al. | 2022
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An interpretable machine learning approach for engineering change management decision support in automotive industryPan, Yuwei / Stark, Rainer et al. | 2022
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The Critical Success Factors for Robotic Process AutomationPlattfaut, Ralf / Borghoff, Vincent / Godefroid, Marie / Koch, Julian / Trampler, Michael / Coners, André et al. | 2022
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Model-driven engineering to ensure automotive embedded software safety. Methodological proposal and case studySirgabsou, Yandika / Baron, Claude / Pahun, Laurent / Esteban, Philippe et al. | 2022
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Measuring the fourth industrial revolution through the Industry 4.0 lens: The relevance of resources, capabilities and the value chainCastelo-Branco, Isabel / Oliveira, Tiago / Simões-Coelho, Pedro / Portugal, Jorge / Filipe, Irina et al. | 2022
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Risk knowledge modeling for offer definition in customer-supplier relationships in Engineer-To-Order situationsAyachi, Rania / Guillon, Delphine / Aldanondo, Michel / Vareilles, Elise / Coudert, Thierry / Beauregard, Yvan / Geneste, Laurent et al. | 2022
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Smart already at design time – Pattern-based smart service innovation in manufacturingEbel, Martin / Jaspert, David / Poeppelbuss, Jens et al. | 2022
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Fabric defect classification using prototypical network of few-shot learning algorithmZhan, Zhu / Zhou, Jinfeng / Xu, Bugao et al. | 2022
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Interpretable deep learning approach for tool wear monitoring in high-speed millingGuo, Hao / Zhang, Yu / Zhu, Kunpeng et al. | 2022
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A survey on smart farming data, applications and techniquesAlwis, Sandya De / Hou, Ziwei / Zhang, Yishuo / Na, Myung Hwan / Ofoghi, Bahadorreza / Sajjanhar, Atul et al. | 2022
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Designing solutions with the product-service systems digital twin: What is now and what is next?Bertoni, Marco / Bertoni, Alessandro et al. | 2022
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WETA: Automatic taxonomy alignment via word embeddingsGiabelli, Anna / Malandri, Lorenzo / Mercorio, Fabio / Mezzanzanica, Mario et al. | 2022
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OCRA – An ontology for collaborative robotics and adaptationOlivares-Alarcos, Alberto / Foix, Sergi / Borgo, Stefano / Guillem Alenyà, et al. | 2022
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Hybridizing humans and robots: An RPA horizon envisaged from the trenchesCabello Ruiz, Rafael / Jiménez Ramírez, Andrés / Escalona Cuaresma, María José / González Enríquez, José et al. | 2022
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A weakly-supervised approach for flower/fruit counting in apple orchardsBhattarai, Uddhav / Karkee, Manoj et al. | 2022
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The architectural design and implementation of a digital platform for Industry 4.0 SME collaborationLiu, Zixu / Sampaio, Pedro / Pishchulov, Grigory / Mehandjiev, Nikolay / Cisneros-Cabrera, Sonia / Schirrmann, Arnd / Jiru, Filip / Bnouhanna, Nisrine et al. | 2022
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Correlation-based feature extraction from computer-aided design, case study on curtain airbags designArjomandi Rad, Mohammad / Salomonsson, Kent / Cenanovic, Mirza / Balague, Henrik / Raudberget, Dag / Stolt, Roland et al. | 2022
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Digital servitization of symbiotic service composition in product-service systemsChuang, Yen-Ching / Chen, Yee Ming et al. | 2022
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Editorial Board| 2022
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Decision fusion for reliable fault classification in energy-intensive process industriesRagab, Ahmed / Ghezzaz, Hakim / Amazouz, Mouloud et al. | 2022
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The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems developmentKaragiannis, Dimitris / Buchmann, Robert Andrei / Utz, Wilfrid et al. | 2022
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From forest to finished products: The contribution of Industry 4.0 technologies to the wood sectorMolinaro, Margherita / Orzes, Guido et al. | 2022