Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization
School of Business, Society and Engineering, Mälardalen University, Västerås 72123, Sweden
*
Author to whom correspondence should be addressed.
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.
View Full-Text
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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. https://doi.org/10.3390/pr6110216
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. https://doi.org/10.3390/pr6110216
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. https://doi.org/10.3390/pr6110216
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
Search more from Scilit
