Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization
School of Business, Society and Engineering, Mälardalen University, Västerås 72123, Sweden
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Processes 2018, 6(11), 216; https://doi.org/10.3390/pr6110216
Received: 14 October 2018 / Revised: 29 October 2018 / Accepted: 31 October 2018 / Published: 2 November 2018
(This article belongs to the Special Issue Modeling and Simulation of Energy Systems
)
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.
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MDPI and ACS Style
Rahman, M.; Zaccaria, V.; Zhao, X.; Kyprianidis, K. Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization. Processes 2018, 6, 216.
AMA Style
Rahman M, Zaccaria V, Zhao X, Kyprianidis K. Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization. Processes. 2018; 6(11):216.
Chicago/Turabian StyleRahman, Moksadur; Zaccaria, Valentina; Zhao, Xin; Kyprianidis, Konstantinos. 2018. "Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization" Processes 6, no. 11: 216.
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