Semantically-enhanced rule-based diagnostics for industrial Internet of Things: The SDRL language and case study for Siemens trains and turbines

Autor: Gulnar Mehdi, Ognjen Savkovic, Evgeny Kharlamov, Mikhail Roshchin, Guohui Xiao, Elem Güzel Kalayci

Publikováno v: Journal of Web Semantics. 56:11-29

An Industrial Internet of Things (IoT) is a network of intelligent industrial equipment such as trains and power generating turbines that collect and share large amounts of data. These data are either generated by various sensors deployed in the equi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4bf6bdab5c8369e0d5eb223b7fcacf8
https://doi.org/10.1016/j.websem.2018.10.004

Towards Simplification of Analytical Workflows With Semantics at Siemens (Extended Abstract)

Autor: Ognjen Savkovic, Evgeny Kharlamov, Ian Horrocks, Arild Waaler, Steffen Lamparter, Guohui Xiao, Gulnar Mehdi

Publikováno v: IEEE BigData

Analytical workflows are heavily used in large and data intensive companies. An important application of such workflows in Siemens is equipment analytics when equipment KPIs and reports are computed by aggregating equipment’s operational, master, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::14efc33e4f6b3bf032c154b64c954ee9
https://doi.org/10.1109/bigdata.2018.8622652

Diagnostics of Trains with Semantic Diagnostics Rules

Autor: Mikhail Roshchin, Guohui Xiao, Ian Horrocks, Martin Ringsquandl, Elem Güzel Kalayc, Ognjen Savkovic, Werner Nutt, Thomas A. Runkler, Evgeny Kharlamov, Gulnar Mehdi

Publikováno v: Inductive Logic Programming ISBN: 9783319999593
ILP

Industry today employs rule-based diagnostic systems to minimize the maintenance cost and downtime of equipment. Rules are typically used to process signals from sensors installed in equipment by filtering, aggregating, and combining sequences of tim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9860d9af0b64da8fd9a6d37be9c94062
https://doi.org/10.1007/978-3-319-99960-9_4

Towards Semantic Reasoning in Knowledge Management Systems

Autor: Mikhail Roshchin, Gulnar Mehdi, Thomas A. Runkler, Sebastian Brandt

Publikováno v: IFIP Advances in Information and Communication Technology ISBN: 9783319929279
AI4KM@IJCAI
IFIP Advances in Information and Communication Technology
4th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM)
4th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2016, New York, NY, United States. pp.132-146, ⟨10.1007/978-3-319-92928-6_9⟩

International audience; Modern applications of AI systems rely on their ability to acquire, represent and process expert knowledge for problem-solving and reasoning. Consequently, there has been significant interest in both industry and academia to e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eafd5de1597d3ed1fa68a018112e14ca
https://doi.org/10.1007/978-3-319-92928-6_9

Ontology-based integration of performance related data and models: An application to industrial turbine analytics

Autor: Sindhu Suresh, Mikhail Roshchin, Gulnar Mehdi, Thomas A. Runkler, Nguyen Quang

Publikováno v: INDIN

In industrial power generation plants, subsystem monitoring and analytics play a vital role in quantifying the knowledge about different factors that impact their overall performance. Multi-dimensional performance metrics, e.g. thermal efficiency, in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::351923efd8fdd7dc5305a50c9bad4ae5
https://doi.org/10.1109/indin.2017.8104780