A data-driven intelligent decision support framework for process operation management. An application to gas turbine process

Συγγραφείς: Bagherzade Ghazvini, Mina

Συνεισφορές: University/Department: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Thesis Advisors: Sànchez-Marrè, Miquel, Angulo Bahón, Cecilio

Πηγή: TDX (Tesis Doctorals en Xarxa)

Θεματικοί όροι: Industrial Process Management, Predictive Maintenance, Operational Data Preprocessing, DataDriven Decision Making, Clustering Techniques, Operational Mode Analysis, Transition Modelling, Machine Learning, Pattern Detection, Gas Turbines., Gestió de Processos Industrials, Manteniment Predictiu, Pre-processament de Dades Operatives, Presa de Decisions Basada en Dades, Tècniques de Clustering, Anàlisi de Mode d’Operació, Modelatge de Transicions, Aprenentatge Automàtic, Detecció de Patrons, Turbines de Gas, Gestión de Procesos Industriales, Mantenimiento Predictivo, Preprocesamiento de Datos de Operación, Toma de Decisiones Basada en Datos, Técnicas de Clustering, Análisis de Modos de Operación, Modelado de Transiciones, Aprendizaje Automático, Detección de Patrones, Turbinas de Gas, Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Enginyeria mecànica, 004 - Informàtica, 621 - Enginyeria mecànica en general. Tecnologia nuclear. Electrotècnia. Maquinària

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://hdl.handle.net/10803/696109
https://dx.doi.org/10.5821/dissertation-2117-449005

AutoModelling: From BMS operational data to validated Modelica models for chillers

Συγγραφείς: Jin, Zhineng ^a, Wang, Zhe ^{a, b, ⁎}

Πηγή: In Energy 30 September 2026 360

Design and Implementation of Fault Data Preprocessing Program for RF Systems in HLS-II

Συγγραφείς: Xu, Fengxia, Zhang, Kai, Wei, Yelong, Wu, Fangfang, Hu, Xiaofang, Tang, Yungai, Xu, Wei, Shen, Guoqiang, Jia, Dachun

Πηγή: 2025 11th International Conference on Big Data and Information Analytics (BigDIA) Big Data and Information Analytics (BigDIA), 2025 11th International Conference on. :501-506 Nov, 2025

Relation: 2025 11th International Conference on Big Data and Information Analytics (BigDIA)

A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data

Συγγραφείς: Cheng Fan, Meiling Chen, Xinghua Wang, Jiayuan Wang, Bufu Huang

Πηγή: Frontiers in Energy Research, Vol 9 (2021)

Θεματικοί όροι: data preprocessing, knowledge discovery, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, data science, 02 engineering and technology, 7. Clean energy, building operational data analysis, General Works, building energy management

Σύνδεσμος πρόσβασης: https://www.frontiersin.org/articles/10.3389/fenrg.2021.652801/pdf
https://doaj.org/article/b38e6947a35041a8b6ea7136264cb9a1

Optimizing Data Gathering and Preprocessing Strategies for Medium-Scale Enterprises

Συγγραφείς: Zabiullah Khan, Insiya Maryam

Θεματικοί όροι: Medium-scale enterprises, Enterprise data lifecycle, Scalable data architecture, Data validation, Data preprocessing, Data integration, Schema harmonization, Data governance

A Critical Review on Data Preprocessing Techniques for Building Operational Data Analysis

Συγγραφείς: Cheng Fan, Meiling Chen, Xinghua Wang, Bufu Huang, Jiayuan Wang

Πηγή: Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate ISBN: 9789811635861

Θεματικοί όροι: 11. Sustainability, 7. Clean energy, 12. Responsible consumption

Analyzing Machining Cycle Time Anomalies via CNC and Operational Data

Συγγραφείς: Vlaminck, Noémie ^a, Nicolas, Michel ^b, Benamara, Tariq ^a, Raddoux, Hervé ^b

Πηγή: In Procedia CIRP 2025 133:471-476

Runtime Privacy-Aware Control for Operational Enforcement in Data-Intensive Systems.

Συγγραφείς: Almarwani, Maryam, Almarwani, Reem

Πηγή: Electronics (2079-9292); Jun2026, Vol. 15 Issue 11, p2462, 30p

Θεματικοί όροι: Data privacy, Computer network management, Context-aware computing, Privacy, Big data

Business Insights Data Analysis Using Python and Power BI.

Συγγραφείς: Kumar, G. Manoj, Balachandra, J.

Πηγή: International Scientific Journal of Engineering & Management; Jun2026, Vol. 5 Issue 6, p1-6, 6p

Θεματικοί όροι: Data visualization software, Dashboards (Management information systems), Business analytics, Data analysis, Programming languages, Data analytics, Relational databases

Integrating Meteorological and Operational Data: A Novel Approach to Understanding Railway Delays in Finland

Συγγραφείς: Borin, Vinicius Pozzobon, Sant'Ana, Jean Michel de Souza, Raheel, Usama, Mahmood, Nurul Huda

Όροι ευρετηρίου: Machine Learning, Artificial Intelligence, Databases, text

Σύνδεσμος: http://arxiv.org/abs/2601.16592

Fuel-cycle-aware data structuring for predictive and diagnostic modeling of Co-58 CRUD activity in pressurized water reactors

Συγγραφείς: Choi, Jinsoo ^a, Yun, Jong-Il ^{b, ⁎}

Πηγή: In Annals of Nuclear Energy November 2026 237

Monitoring Data for Anomaly Detection in Cloud-Based Systems: A Systematic Mapping Study

Συγγραφείς: Hrusto, Adha, Author, Ali, Nauman Bin, Author, Engström, Emelie, Author, Wang, Yuqing, Author, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Software Engineering, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Programvarusystem, Originator, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Συνεισφορές: Hrusto, Adha, Author, Ali, Nauman Bin, Author, Engström, Emelie, Author, Wang, Yuqing, Author, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Software Engineering, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Programvarusystem, Originator, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Πηγή: ACM Transactions on Software Engineering and Methodology. 35(4):1-36

Θεματικοί όροι: Natural Sciences, Computer and Information Sciences, Software Engineering, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Programvaruteknik

Σύνδεσμος πρόσβασης: https://doi.org/10.1145/3744556

Fault Detection On Heat Pump Operational Data Using Machine Learning Algorithms

Συγγραφείς: Rahman, Md Mahbubur, Malekian, Reza, Akerstroem, Vilhelm

Πηγή: 2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS) Internet of Things: Systems, Management and Security (IOTSMS), 2024 11th International Conference on. :204-211 Sep, 2024

Relation: 2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)

Analyzing Deep Neural Architectures for Renewable Forecasting: A Comparative Study of CNN and LSTM on Nusa Penida PVPP Data

Συγγραφείς: Pribadi, Abu Ismail, Mustafa, Nur Badariah Ahmad, Syahbanu, Anang, Prasetyo, Dani, Jumantoro, Ernanda

Πηγή: 2025 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP) Technology and Policy in Energy and Electric Power (ICT-PEP), 2025 International Conference on. :258-263 Sep, 2025

Relation: 2025 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP)

AI-Driven Cross-Level Dynamic Scheduling Framework for Carbon Efficiency in Green Data Centers

Συγγραφείς: Xia, Jing, Wu, Xiaochang, Geng, Mingze

Πηγή: 2026 6th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA) Artificial Intelligence and Industrial Technology Applications (AIITA), 2026 6th International Conference on. :1098-1107 Apr, 2026

Relation: 2026 6th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA)

Bridging the analytics gap: A platform-based framework for SME data analysis.

Συγγραφείς: Vasileios, Tountopoulos, Zacharias, Dermatis, Spiros, Sirmakessis, Athanasios, Anastasiou

Πηγή: International Journal of Innovative Research & Scientific Studies; 2026, Vol. 9 Issue 5, p152-162, 11p

Θεματικοί όροι: Data analytics, Data analysis, Statistical decision making, Clustering algorithms, Prediction models, Quantitative research, Classification algorithms

GuideML: An Advanced Machine Learning Approach for Ensuring Nuclear Safety Management

Συγγραφείς: Rahmatullah, Raja Kafi, Akhter, Humayra, Das, Kawshik, Ahmed, Md Shamim, Sadhukhan, Ramit Kumar

Πηγή: 2025 9th International Conference on Information Technology (InCIT) Information Technology (InCIT), 2025 9th International Conference on. :553-557 Nov, 2025

Relation: 2025 9th International Conference on Information Technology (InCIT)

A Cluster-Based Filtering Approach to SCADA Data Preprocessing for Wind Turbine Condition Monitoring and Fault Detection.

Συγγραφείς: Kijanowski, Krzysztof¹ (AUTHOR), Barszcz, Tomasz¹ (AUTHOR), Dao, Phong Ba¹ (AUTHOR) phongdao@agh.edu.pl

Πηγή: Energies (19961073). Nov2025, Vol. 18 Issue 22, p5954. 21p.

Θεματικοί όροι: *Wind turbines, *Fault diagnosis, *Python programming language, *Data integrity, *Supervisory control & data acquisition systems, *Outlier detection, *Data scrubbing, *K-means clustering

Predicting the Performance of Tunnel Boring Machines using Big Operational Data

Συγγραφείς: Zhang, Qianli, Liu, Zhenyu, Tan, Jianrong

Πηγή: 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService) BIGDATASERVICE Big Data Computing Service and Applications (BigDataService), 2020 IEEE Sixth International Conference on. :179-182 Aug, 2020

Relation: 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService)

Data-driven approach for predicting power and shaft RPM in seaways by principal component regression

Συγγραφείς: Lee, Seungbeom ^a, Seo, Jeonghwa ^{a, b, ⁎}, Kim, Dong-Hwan ^c, Kim, Minchang ^a, Kim, Kwanwoo ^d, Han, Sangmin ^d, Chung, Sungwook ^d

Πηγή: In Ocean Engineering 15 March 2026 349