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Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

Radhya Sahal, Saeed H. Alsamhi, John G. Breslin, Kenneth N. Brown, Muhammad Intizar Ali
2021 Applied Sciences  
The proposed framework provide an interaction mechanism to understand the DT status, interact with other DTs, learn from each other DTs, and share common semantic knowledge.  ...  A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning  ...  technique smart manufacturing X X [20] (2020) Focusing on DTs with Industry 4.0 and data analytics X [21] (2018) Investigation wind farm and power consumption for smart manufacturing using IoT and  ... 
doi:10.3390/app11073186 fatcat:wucysis52zdj3mqpvdz4wluehi

Profiling Context Awareness in Mobile and Cloud Based Engineering Asset Management [chapter]

Petros Pistofidis, Christos Emmanouilidis
2013 IFIP Advances in Information and Communication Technology  
This paper discusses a methodology for injecting industrial asset management systems with modelling semantics and software mechanisms that enable context awareness via portable clients and applicationagnostic  ...  A significant number of industrial IT systems employ data models and service frameworks whose design specifications where drafted on the basis of functional requirements for non context-aware systems.  ...  The collaboration with all project partners and especially Kleemann Lifts for providing the application case, as well as Atlantis Engineering and Prisma Electronics for contributing to the application  ... 
doi:10.1007/978-3-642-40361-3_3 fatcat:hlkwlstwlbdp3do5i46pnnyuiy

Big Data Processing and Analytics Platform Architecture for Process Industry Factories

Martin Sarnovsky, Peter Bednar, Miroslav Smatana
2018 Big Data and Cognitive Computing  
The main objective was to design a scalable analytical platform that will support the collection, storage and processing of data from multiple industry domains.  ...  This paper describes the architecture of a cross-sectorial Big Data platform for the process industry domain.  ...  Semantic Modelling Tools The Semantic Modelling Tools provide a collaborative user interface for the creation and sharing of semantic models specified in the Semantic Modelling Framework (see the description  ... 
doi:10.3390/bdcc2010003 fatcat:xiporsbfwjfbbnlrxyxd5l7asu

Semantic Framework for Predictive Maintenance in a Cloud Environment

Bernard Schmidt, Lihui Wang, Diego Galar
2017 Procedia CIRP  
This paper highlights those challenges and presents a semantic framework for data collection, synthesis, and knowledge sharing in a Cloud environment for predictive maintenance.  ...  Correlating machine conditions with process and inspection data involves data integration of different types suc h as condition monitoring, inspection and process data.  ...  Semantic Framework Overview of the semantic framework for predictive maintenance is presented in Fig. 6 .  ... 
doi:10.1016/j.procir.2016.06.047 fatcat:f77ozg62bze4rgnz2hx5wlxeye

Predictive Maintenance für WEA-Strukturen [chapter]

C. T. Geiss
2019 Schwingungen von Windenergieanlagen 2019  
Asset Management in the Wind Energy Industry The wind energy industry has not yet achieved an integrative asset management framework.  ...  This prognosis is valid both for macro and micro economical frameworks, e.g. for the global environment as well as for the single wind turbine operator.  ... 
doi:10.51202/9783181023464-97 fatcat:4jply2eggbg4jdfrudtjh6t2ti

A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning

Parastoo Delgoshaei, Mohammad Heidarinejad, Mark A. Austin
2022 Sustainability  
and analytics.  ...  Semantic data models enable the understanding of real-world data for building automation, integration and control applications.  ...  Acknowledgments: The authors would like to acknowledge Steven Bushby, Amanda Pertzborn, Andrew Persily, Salvatore Cataldi and the BACnet SI-WG members for their valuable feedback.  ... 
doi:10.3390/su14105810 fatcat:lzdnh6fvxjdxzauzqgczjpjyl4

Leveraging Cloud Computing for Systematic Performance Management of Quality of Care

Benjamin Eze, Craig Kuziemsky, Rubina Lakhani, Liam Peyton
2016 Procedia Computer Science  
We also introduce a framework for achieving systematic surveillance and performance management across the entire healthcare system.  ...  The challenge is that reaching these goals requires the aggregation and analysis of large amounts of data from various stakeholders in the healthcare industry.  ...  Future Works Our framework depicts the building blocks for implementing a surveillance and performance management framework for continuous data aggregation of disparate data, semantic attribute matching  ... 
doi:10.1016/j.procs.2016.09.048 fatcat:bbbvmts3vfctnblhtq6w7wxkyy

Semantic access to streaming and static data at Siemens

Evgeny Kharlamov, Theofilos Mailis, Gulnar Mehdi, Christian Neuenstadt, Özgür Özçep, Mikhail Roshchin, Nina Solomakhina, Ahmet Soylu, Christoforos Svingos, Sebastian Brandt, Martin Giese, Yannis Ioannidis (+4 others)
2017 Journal of Web Semantics  
The platform is based on a number of novel techniques and components including a deployment module, BootOX for ontology and mapping bootstrapping, a query language STARQL that allows for a uniform querying  ...  We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge.  ...  Acknowledgements This work was partially funded by the EU project Optique (FP7-ICT-318338), and the EPSRC projects MaSI 3 (EP/K00607X/1), DBOnto (EP/L012138/1), ED 3 (EP/N014359/1).  ... 
doi:10.1016/j.websem.2017.02.001 fatcat:vbyec4wq3rc5nntgpp35bc4fwa

Data Harmonization for Heterogeneous Datasets: A Systematic Literature Review

Ganesh Kumar, Shuib Basri, Abdullahi Abubakar Imam, Sunder Ali Khowaja, Luiz Fernando Capretz, Abdullateef Oluwagbemiga Balogun
2021 Applied Sciences  
The heterogeneity and decentralization of data sources affect data visualization and prediction, thereby influencing analytical results accordingly.  ...  Investigating such heterogeneous data is one of the most challenging tasks in information management and data analytics.  ...  The studies show the following challenges faced by industries: as predictive analysis, social media analytics, content-based analytics, text analytics, audio analytics, and video analytics.  ... 
doi:10.3390/app11178275 fatcat:2e5jcmsodrej3fwkxkftiwhrsu

Linked Open Data in the Biomedical Information Area: A Keywords Analysis

Stefano Bonacina
2019 Studies in Health Technology and Informatics  
Applying PRISMA statement for literature reviews, forty-six papers were included in the analysis and keywords identified. Keywords have been classified according to MeSH categories, when possible.  ...  Acknowledgements This research has been supported by the Health Informatics Centre (HIC), Institutionen för Lärande, Informatik, Management och Etik (LIME), Karolinska Institutet, Stockholm, Sweden.  ...  "Information Science Category" and "Analytical, Diagnostic and Therapeutic Techniques and Equipment Category" of MeSH were the main MeSH categories keywords belong to.  ... 
doi:10.3233/shti190468 pmid:31438165 fatcat:orfirtiavneazphmo7cg7gru6u

Towards an integrated service-oriented reference enterprise architecture

Alfred Zimmermann, Kurt Sandkuhl, Michael Pretz, Michael Falkenthal, Dierk Jugel, Matthias Wissotzki
2013 Proceedings of the 2013 International Workshop on Ecosystem Architectures - WEA 2013  
& Cloud Computing, Semantic-based Decision Support through Ontologies and Knowledge-based Systems, Big Data Management, as well as Mobility and Collaboration Systems.  ...  Both architecture engineering and management of service-oriented enterprise architectures is complex and has to integrate synergistic disciplines like EAM -Enterprise Architecture and Management for Services  ...  The semi-automated navigation between architectural concepts enables new functionalities for impact management as well as for cyclic architecture evaluations and for real-time architecture analytics, diagnostics  ... 
doi:10.1145/2501585.2501591 dblp:conf/sigsoft/ZimmermannSPFJW13 fatcat:mgyfbvqcpjfltjs5bv5sjlidam

Big Data in Pharmaceutical R&D: Creating a Sustainable R&D Engine

Peter Tormay
2015 Pharmaceutical Medicine  
might provide the insights needed to turn the ship around and allow the industry to return to sustainable growth.  ...  At the same time, healthcare providers quite rightly require better value for money and clear evidence that new drugs are better than the current standard of care, making a complex situation even more  ...  Acknowledgments Peter Tormay is affiliated with Capish Nordic AB, a solution provider of data integration and visualization software to the pharmaceutical industry.  ... 
doi:10.1007/s40290-015-0090-x pmid:25878506 pmcid:PMC4392111 fatcat:fzug55kauveuznr4szbrcqtxmi

Enabling the human in the loop: Linked data and knowledge in industrial cyber-physical systems

Christos Emmanouilidis, Petros Pistofidis, Luka Bertoncelj, Vassilis Katsouros, Apostolos Fournaris, Christos Koulamas, Cristobal Ruiz-Carcel
2019 Annual Reviews in Control  
analytics for product lifecycle management.  ...  side data management and analytics, and have contributed to shaping up enhanced or new data value chains in manufacturing.  ...  State models are then downloaded to the embedded device to drive edge analytics for event detection and diagnostics.  ... 
doi:10.1016/j.arcontrol.2019.03.004 fatcat:kr4jevs5arh55jqgj3ht3axwmq

Carnegie Mellon's CyDAT: Harnessing a Wide Array of Telemetry Data to Enhance Distributed System Diagnostics

Chas DiFatta, Mark Poepping, Daniel V. Klein
2008 USENIX Symposium on Operating Systems Design and Implementation  
This paper described the CyDAT and a reference implementation of an event framework (EDDY) to normalize, transform, and transport telemetry data to the analytics that need them, providing a means for tackling  ...  Responding to these difficulties, we've established the CyDAT (Cyber-center for Diagnostics Analytics and Telemetry) effort within CyLAB at Carnegie Mellon, to enable researchers to interact with a rich  ...  Acknowledgements Development of the EDDY Toolkit was supported with funding from Carnegie Mellon University and the National Science Foundation (CNS-0433540), plus early support from Internet2 and the  ... 
dblp:conf/osdi/DiFattaPK08 fatcat:mvnhvm2bwjdx5kuwu2v3fkgug4

Analytics for the Internet of Things: A Survey [article]

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2018 arXiv   pre-print
This article reviews work in the IoT and big data analytics from the perspective of their utility in creating efficient, effective and innovative applications and services for a wide spectrum of domains  ...  This taxonomy provides us with insights on the appropriateness of analytical techniques, which in turn shapes a survey of enabling technology and infrastructure for IoT analytics.  ...  [182] study analytics applications in the industry and propose a framework of how business analytics can be applied to processes for organisations to gain a sustainable, competitive advantage.  ... 
arXiv:1807.00971v1 fatcat:jwywwwhbznfprmpi4xvwoag3zy
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