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Towards an Integrated Approach for Micro Gas Turbine Fleet Monitoring, Control and Diagnostics
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi. (SOFIA - Simulation and Optimisation for Future Industrial Applications)
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.ORCID-id: 0000-0001-6101-2863
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.ORCID-id: 0000-0003-3610-4680
Micro Turbine Technology bv, Eindhoven, Netherlands.
Vise andre og tillknytning
2018 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Real-time engine condition monitoring and fault diagnostics results in reduced operating and maintenance costs and increased component and engine life. Prediction of faults can change the maintenance model of a system from a fixed maintenance interval to a condition based maintenance interval, further decreasing the total cost of ownership of a system. Technologies developed for engine health monitoring and advanced diagnostic capabilities are generally developed for larger gas turbines, and generally focus on a single system; no solutions are publicly available for engine fleets. This paper presents a concept for fleet monitoring finely tuned to the specific needs of micro gas turbines. The proposed framework includes a physics-based model and a data-driven model with machine learning capabilities for predicting system behaviour, combined with a diagnostic tool for anomaly detection and classification. The integrated system will develop advanced diagnostics and condition monitoring for gas turbines with a power output under 100 kW.

sted, utgiver, år, opplag, sider
2018.
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
URN: urn:nbn:se:mdh:diva-43169OAI: oai:DiVA.org:mdh-43169DiVA, id: diva2:1305967
Konferanse
Global Power and Propulsion Forum 2018, Zurich, Switzerland
Tilgjengelig fra: 2019-04-21 Laget: 2019-04-21 Sist oppdatert: 2019-06-03bibliografisk kontrollert

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Aslanidou, IoannaZaccaria, ValentinaRahman, MoksadurOlsson, TomasKyprianidis, Konstantinos

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