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Murat Kulahci, Flavia Dalia Frumosu, Abdul Rauf Khan, Georg Ørnskov Rønsch & Max Peter Spooner. (2020) Experiences with big data: Accounts from a data scientist’s perspective. Quality Engineering 32:4, pages 529-542.
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Ingrid Måge, Sileshi Gizachew Wubshet, Jens Petter Wold, Lars Erik Solberg, Ulrike Böcker, Katinka Dankel, Tiril Aurora Lintvedt, Bijay Kafle, Marco Cattaldo, Josipa Matić, Liudmila Sorokina & Nils Kristian Afseth. (2023) The role of biospectroscopy and chemometrics as enabling technologies for upcycling of raw materials from the food industry. Analytica Chimica Acta 1284, pages 342005.
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Henrik Hviid Hansen, Murat Kulahci & Bo Friis Nielsen. (2023) Statistical process control versus deep learning for power plant condition monitoring. Computers & Chemical Engineering 178, pages 108391.
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Chidi Agbo & Hoda Mehrpouyan. (2023) Achieving Cyber-Informed Engineering Through Bayesian Belief Network and Sensitivity Analysis. Achieving Cyber-Informed Engineering Through Bayesian Belief Network and Sensitivity Analysis.
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Chidi Agbo & Hoda Mehrpouyan. (2022) Conflict Analysis and Resolution of Safety and Security Boundary Conditions for Industrial Control Systems. Conflict Analysis and Resolution of Safety and Security Boundary Conditions for Industrial Control Systems.
Davide Cacciarelli, Murat Kulahci & John Sølve Tyssedal. (2022) Stream-based active learning with linear models. Knowledge-Based Systems 254, pages 109664.
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David B. Cameron, Arild Waaler, Erlend Fjøsna, Monica Hole & Foivos Psarommatis. (2022) A semantic systems engineering framework for zero-defect engineering and operations in the continuous process industries. Frontiers in Manufacturing Technology 2.
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Afrânio Melo, Maurício M. Câmara, Nayher Clavijo & José Carlos Pinto. (2022) Open benchmarks for assessment of process monitoring and fault diagnosis techniques: A review and critical analysis. Computers & Chemical Engineering 165, pages 107964.
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Davide Cacciarelli & Murat Kulahci. (2022) A novel fault detection and diagnosis approach based on orthogonal autoencoders. Computers & Chemical Engineering 163, pages 107853.
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Lei Guo, Hongbo Shi, Shuai Tan, Bing Song & Yang Tao. (2022) Multiblock Adaptive Convolution Kernel Neural Network for Fault Diagnosis in a Large-Scale Industrial Process. Industrial & Engineering Chemistry Research 61:14, pages 4879-4895.
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Shipeng Li, Jiaxiang Luo & Yueming Hu. (2022) Nonlinear process modeling via unidimensional convolutional neural networks with self-attention on global and local inter-variable structures and its application to process monitoring. ISA Transactions 121, pages 105-118.
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Emil B. Andersen, Isuru A. Udugama, Krist V. Gernaey, Abdul R. Khan, Christoph Bayer & Murat Kulahci. (2021) An easy to use GUI for simulating big data using Tennessee Eastman process. Quality and Reliability Engineering International 38:1, pages 264-282.
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Xiangyu Kong, Zhiyan Yang, Jiayu Luo, Hongzeng Li & Xi Yang. (2022) Extraction of Reduced Fault Subspace Based on KDICA and Its Application in Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement 71, pages 1-12.
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Chun-Ming Yang & Kuen-Suan Chen. (2021) An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry. Expert Systems with Applications 183, pages 115336.
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M.A. Márquez-Vera, L.E. Ramos-Velasco, O. López-Ortega, N.S. Zúñiga-Peña, J.C. Ramos-Fernández & R.M. Ortega-Mendoza. (2021) Inverse fuzzy fault model for fault detection and isolation with least angle regression for variable selection. Computers & Industrial Engineering 159, pages 107499.
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Feifeng Shen, Chen Xu & Huizhong Yang. (2021) Multimode process monitoring using adaptive auto‐associative kernel regression. Asia-Pacific Journal of Chemical Engineering 16:5.
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Damdae Park, Jonggeol Na & Jong Min Lee. (2021) Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring. Industrial & Engineering Chemistry Research 60:26, pages 9521-9531.
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Ron S. Kenett & Grazia Vicario. (2021) Challenges and Opportunities in Simulations and Computer Experiments in Industrial Statistics: An Industry 4.0 Perspective. Advanced Theory and Simulations 4:2, pages 2000254.
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Francesca Capaci, Erik Vanhatalo, Ahmet Palazoglu, Bjarne Bergquist & Murat Kulahci. (2020) On monitoring industrial processes under feedback control. Quality and Reliability Engineering International 36:8, pages 2720-2737.
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Pallavi Kumari, Dongheon Lee, Qingsheng Wang, M. Nazmul Karim & Joseph Sang-Il Kwon. (2020) Root Cause Analysis of Key Process Variable Deviation for Rare Events in the Chemical Process Industry. Industrial & Engineering Chemistry Research 59:23, pages 10987-10999.
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Renbin Zhang, Zongze Cao & Kewei Wu. (2020) Tracing and detection of ICS Anomalies Based on Causality Mutations. Tracing and detection of ICS Anomalies Based on Causality Mutations.
Lu Lv, Wenhai Wang, Zeyin Zhang & Xinggao Liu. (2020) A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine. Knowledge-Based Systems 195, pages 105648.
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Peng Chang, Olivia Kang, Ding Chunhao & Ruiwei Lu. (2019) Application of fault monitoring and diagnosis in process industry based on fourth order moment and singular value decomposition. The Canadian Journal of Chemical Engineering 98:3, pages 717-727.
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Yuehjen E. Shao & Yu-Ting Hu. (2020) Using Machine Learning Classifiers to Recognize the Mixture Control Chart Patterns for a Multiple-Input Multiple-Output Process. Mathematics 8:1, pages 102.
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Grazia Vicario & Shirley Coleman. (2020) Rejoinder to the discussion of “A review of data science in business and industry and a future view by G. Vicario and S. Coleman”. Applied Stochastic Models in Business and Industry 36:1, pages 43-48.
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Md. Tanjin Amin, Faisal Khan, Syed Imtiaz & Salim Ahmed. (2019) Robust Process Monitoring Methodology for Detection and Diagnosis of Unobservable Faults. Industrial & Engineering Chemistry Research 58:41, pages 19149-19165.
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