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Reuse of Semantic Models for Emerging Smart Grids Applications [article]

Valentina Janev, Dušan Popadić, Dea Pujić, Maria Esther Vidal, Kemele Endris
2021 arXiv   pre-print
The selection of reusable models has been done based on a set of scenarios related to electricity balancing services, predictive maintenance services, and services for the residential, commercial and industrial  ...  The ambition is to innovate the Institute Mihajlo Pupin proprietary SCADA system and to enable integration of the Institute Mihajlo Pupin services and applications in the European Union (EU) Energy Data  ...  data) requires the description of the entities in the data sources using RDF vocabularies, as well as the performance of curation and integration tasks to reduce data quality issues, e.g., missing values  ... 
arXiv:2107.06999v1 fatcat:stnym7nw6rd2dmpntk77x5qrba

SemML: Reusable ML Models for Condition Monitoring in Discrete Manufacturing

Yulia Svetashova, Baifan Zhou, Stefan Schmid, Tim Pychynski, Evgeny Kharlamov
2020 International Semantic Web Conference  
The main challenges include the exhausting effort of data integration and lacking of generalisability of developed ML pipelines to diverse data variants, sources, and domain processes.  ...  During the demo the attendees will experience three cunningly-designed scenarios based on real industrial applications of manufacturing condition monitoring at Bosch, and witness the power of ontologies  ...  Semantic technologies have recently gained a considerable attention in industry for a wide range of applications and automation tasks such as modelling of industrial assets [5] and industrial analytical  ... 
dblp:conf/semweb/SvetashovaZSPK20 fatcat:psekm25bozcdxe6qmt2ffa3o7q

Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines

Ralf Stetter
2020 Energies  
In this structure, current approaches are described and illustrated on the basis of an example of a technical system, a wind turbine.  ...  Models of technical systems are an essential means in design and product-development processes.  ...  Cycle (ZaFH) project (information under: https://dip.reutlingen-university.de/), which is supported by a grant from the European Regional Development Fund and the Ministry of Science, Research, and the  ... 
doi:10.3390/en13082087 fatcat:6ax6vwcip5akrgrdsf6rtpoktm

Data management for developing digital twin ontology model

Sumit Singh, Essam Shehab, Nigel Higgins, Kevin Fowler, Dylan Reynolds, John A Erkoyuncu, Peter Gadd
2020 Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture  
The current research proposes a novel concept of DT ontology model and methodology to address these data management challenges.  ...  The DT ontology model captures and models the conceptual knowledge of the DT domain.  ...  Acknowledgement The authors would like to thank the Engineering and Physical Sciences Research Council (EPSRC) and AIRBUS for funding this research project.  ... 
doi:10.1177/0954405420978117 fatcat:ezset7ryrjawzdotti3rz5dx7m

Predictive Maintenance für WEA-Strukturen [chapter]

C. T. Geiss
2019 Schwingungen von Windenergieanlagen 2019  
A modern ODBMS should be post-relational with no need for entity relationship models to be compatible with big data analytics, IoT-technology, and to run predictive analytics to its best performance.  ...  A modern ODBMS should be post-relational with no need for entity relationship models to be compatible with big data analytics, IoT-technology, and to run predictive analytics to its best performance.  ... 
doi:10.51202/9783181023464-97 fatcat:4jply2eggbg4jdfrudtjh6t2ti

Operationalizing Heterogeneous Data-Driven Process Models for Various Industrial Sectors through Microservice-Oriented Cloud-Based Architecture [chapter]

Valdemar Lipenko, Sebastian Nigl, Andreas Roither-Voigt, Zelenay David
2021 AI and Learning Systems - Industrial Applications and Future Directions  
Industrial performance optimization increasingly makes the use of various analytical data-driven models.  ...  Strong requirements on high availability, scalability, and security are satisfied through the application of cloud-based services.  ...  Architecture for SAP ERP integration of predictive models.  ... 
doi:10.5772/intechopen.92896 fatcat:2joa5flqezahfiqfcorwc63xe4

A method for engineering design change analysis using system modelling and knowledge management techniques

Genyuan Fei, James Gao, Oladele Owodunni, Xiaoqing Tang
2011 International journal of computer integrated manufacturing (Print)  
Some of their engineering designers provided advice in developing the methodology and the illustrative example.  ...  Acknowledgements This project has been supported by the wind turbine design company Vensys Energy AG in Germany and the leading wind turbine manufacturer Goldwind Ltd in China.  ...  It's not supposed to be an industrial standard. It's a part of the company's knowledge base that defines components used in their business and is categorised.  ... 
doi:10.1080/0951192x.2011.562544 fatcat:jn7hujlj2fh2hp6sk2d6v7lje4

An Agent-Based Implementation of Hidden Markov Models for Gas Turbine Condition Monitoring

Andrew D. Kenyon, Victoria M. Catterson, Stephen D. J. McArthur, John Twiddle
2014 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The multi-agent system is shown to be applicable through a case study and comparison to an existing system utilizing historic data from a combined-cycle gas turbine plant provided by an industrial partner  ...  These models are implemented as part of a MAS, using a proposed extension of an established power system ontology, for fault detection of gas turbines.  ...  Section IV shows an example of HMMs trained on combustion data with a low sample rate, and compares the performance of the HMMs to an existing commercial system, and shows superior performance.  ... 
doi:10.1109/tsmc.2013.2251539 fatcat:fwjekx2albec7ozvdff5mkasdy

Predictive diagnosis for offshore wind turbines using holistic condition monitoring

Emilio Miguelanez, David Lane
2010 OCEANS 2010 MTS/IEEE SEATTLE  
turbine in an integrated manner.  ...  The current generation of condition monitoring systems (CMS) in relation to wind energy are generally provided by turbine manufacturers, or have been adapted from other industries.  ...  The knowledge base is able to incorporate four different types of information: relational model (also known as ontology), raw data, processed data, and fused data.  ... 
doi:10.1109/oceans.2010.5664584 fatcat:zvds7ixv2jg4rasgtx4kltljgi

The Business Interoperability Quotient Measurement Model

Aneesh Zutshi, Antonio Grilo, Ricardo Jardim-Goncalves
2012 Computers in industry (Print)  
Finally, the BIQMM is applied to a business case involving Innovayt and LM Glassfiber to demonstrate its applicability to different collaboration scenarios.  ...  This Business Interoperability Quotient Measurement Model (BIQMM), developed in this dissertation uses an interdisciplinary approach to capture the key elements responsible for collaboration performance  ...  For instance, Fodor and Werthner (2004) suggest a web services infrastructure for business-to- business integration between tourism organizations by means of an ontology-based mediation.  ... 
doi:10.1016/j.compind.2012.01.002 fatcat:w5x5tspupbczvlhg7rmm4d2yne

Ontology-Based Context Modeling in Physical Asset Integrity Management

Ali Al-Shdifat, Christos Emmanouilidis, Muhammad Khan, Andrew G. Starr
2020 Frontiers in Computer Science  
The approach is demonstrated by applying the ontology on an industrially relevant physical gearbox test rig, designed to model complex misalignment cases met in manufacturing and aerospace applications  ...  One way to handle data complexity is to introduce context information modeling and management, wherein data and service delivery are determined upon resolving the apparent context of a service or data  ...  , mobility and wearables, big data and analytics, systems integration, augmented and virtual reality, as well as smart and new materials, I4.0 gives rise to new services and business models (Frank et  ... 
doi:10.3389/fcomp.2020.578673 fatcat:ywgtd4wg2zc55mdmmwsafdcvl4

Experience modeling with graphs encoded knowledge for construction industry

Bernard Kamsu-Foguem, Fonbeyin Henry Abanda
2015 Computers in industry (Print)  
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.  ...  Acknowledgement This work has been undertaken as part of the collaborative research funded through two organisations whose goals are to encourage interdisciplinary research work.  ...  To facilitate automation, an ontology graph-based editor, Conceptual Graphs User Interface (CoGui) was used to model knowledge and encoded reasoning in the knowledge base.  ... 
doi:10.1016/j.compind.2015.02.004 fatcat:t5pwfgfvqnhbzgk23bsyux32dq

SemML: Facilitating Development of ML Models for Condition Monitoring with Semantics

Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov
2021 Social Science Research Network  
Monitoring of the state, performance, quality of operations and other parameters of equipment and production processes, which is typically referred to as condition monitoring, is an important common practice  ...  With SemML, users do not need to dive into data and ML scripts when new datasets of a studied application scenario arrive.  ...  We are thankful to Tim Pychynski for insightful discussions.  ... 
doi:10.2139/ssrn.3945440 fatcat:yggv3elqovfdrclvlosfg53qoe

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  
We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge.  ...  of both streaming and static data, a highly optimised backend, ExaStream, for processing such data, and a query formulation interface, OptiqueVQS, that allows to formulate STARQL queries without prior  ...  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

Integration, navigation and exploration of plant topology networks using the property-graph model

David Dorantes Romero, Nina F. Thornhill
2014 2014 IEEE/SICE International Symposium on System Integration  
This paper proposes a method for integration, navigation and exploration of topology models in an efficient way, which can be applied to the study of connectivity and causality in chemical processes.  ...  A few works, however, have focused on how to integrate, store, and visualise connectivity models, which are becoming available in the literature.  ...  The use of standard ontologies for plant data is a fact that will determine to which adept the integration of metadata can be performed automatically.  ... 
doi:10.1109/sii.2014.7028131 fatcat:idngihp2q5fytcc2vvmpw4k6um
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