Artificial Neural Network Based Calibration of Multi-Hole Pressure Probes

• Autorzy: Ciepielewska D.
• Konferencja: International Symposium SYMKOM Compressor & Turbine Flow Systems, Treory & Application Areas (21-23.09.2005; Łódź; Polska)
• Języki publikacji: EN

Abstrakty

EN

Since the discovery of a powerful training algorithm, Artificial Neural Networks (ANN) have been attracting increasing attention of fluid mechanical engineers, who find newer and newer applications of ANNs in the field of fluid mechanics. This paper presents the typical development of a neural network based calibration algorithm for miniature five-hole pressure probes.

Słowa kluczowe

EN

artificial neural network; data analysis; prediction

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Zeszyty Naukowe. Cieplne Maszyny Przepływowe - Turbomachinery / Politechnika Łódzka
• Rocznik: 2005
• Tom: nr 128, vol. 1
• Strony: 130--138
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Ciepielewska D.

• Technical University of Lodz Institute of Turbomachinery,

Bibliografia

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• [2] Vijayagopal, R., Pathak, M., Rediniotis, O.K., “Miniature Multihole Pressure Probes and Their Neural Network Based Calibration,” Reno 1996.
• [3] Nisi M, Matasubaga et al., “Measurement of three-dimensional periodic flow in a conical draft tube at surging condition”. FED vol. 69, 1988
• [4] Gallus H. E., “Recent research work on turbomachinery flow”. Invited Opening Lecture of the Yokohama International Gas Turbine Congress, 95 Yokohama IGTC-S',1995.
• [5] Smolny A., Błaszczak J., Horodko L.,”Wzorcowanie sond pneumatycznych w badaniach poddźwiękowego przepływu trójwymiarowego”
• [6] Kosiński R., ”Sztuczne sieci neuronowe, dynamika nieliniowa i chaos”, WNT Warszawa 2002
• [7] Fausett, L., “Fundamentals of Neural Networks Architectures, Algorithms, and Applications,” Prentice Hall, Englewood Cliffs, N.J., 1994.
• [8] Demuth, H. and Beale, M., “Matlab Neural Network Toolbox,” The Mathworks, Inc., Massachusetts, December 1997