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Modelling the clogging of gas turbine filter houses in heavy-duty power generation systems.
- Source :
-
Mathematical & Computer Modelling of Dynamical Systems . Mar2020, Vol. 26 Issue 2, p119-143. 25p. - Publication Year :
- 2020
-
Abstract
- A prognostic approach based on a MISO (multiple inputs and single output) fuzzy logic model was introduced to estimate the pressure difference across a gas turbine (GT) filter house in a heavy-duty power generation system. For modelling and simulation of clogging of the GT filter house, nine real-time process variables (ambient temperature, humidity, ambient pressure, GT produced load, inlet guide vane position, airflow rate, wind speed, wind direction and PM10 dust concentration) were fuzzified using a graphical user interface within the framework of an artificial intelligence-based methodology. The results revealed that the proposed fuzzy logic model produced very small deviations and showed a superior predictive performance than the conventional multiple regression methodology, with a very high determination coefficient of 0.974. A complicated dynamic process, such as clogging phenomenonin heavy-duty GT system, was successfully modelled due to high capability of the fuzzy logic-based prognostic approach in capturing the nonlinear interactions. [ABSTRACT FROM AUTHOR]
- Subjects :
- *GAS turbines
*GRAPHICAL user interfaces
*FUZZY logic
*HOUSING
*WIND speed
Subjects
Details
- Language :
- English
- ISSN :
- 13873954
- Volume :
- 26
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Mathematical & Computer Modelling of Dynamical Systems
- Publication Type :
- Academic Journal
- Accession number :
- 142489567
- Full Text :
- https://doi.org/10.1080/13873954.2020.1713821