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Xin, Zhao
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Rahman, M., Zaccaria, V., Xin, Z. & Kyprianidis, K. (2018). Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization. Processes, 6(11)
Open this publication in new window or tab >>Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization
2018 (English)In: Processes, ISSN 2227-9717, E-ISSN 1099-5862, Vol. 6, no 11Article in journal (Refereed) Published
Abstract [en]

The market for the small-scale micro gas turbine is expected to grow rapidly in the coming years. Especially, utilization of commercial off-the-shelf components is rapidly reducing the cost of ownership and maintenance, which is paving the way for vast adoption of such units. However, to meet the high-reliability requirements of power generators, there is an acute need of a real-time monitoring system that will be able to detect faults and performance degradation, and thus allow preventive maintenance of these units to decrease downtime. In this paper, a micro gas turbine based combined heat and power system is modelled and used for development of physics-based diagnostic approaches. Different diagnostic schemes for performance monitoring of micro gas turbines are investigated.

Keywords
micro gas turbine; modelling; diagnostics, gas path analysis, analysis by synthesis
National Category
Energy Systems
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-41514 (URN)10.3390/pr6110216 (DOI)000451530400012 ()2-s2.0-85057867402 (Scopus ID)
Projects
FUDIPO
Available from: 2018-12-06 Created: 2018-12-06 Last updated: 2019-01-16Bibliographically approved
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