SavedAdd your journal

Journals / ARI The Bulletin of the Istanbul Technical University / 2003 / Cilt: 53 - Sayı: 1

Monitoring jet engine characteristics by a learning algorithm

Nafiz Aydın HIZAL
Pages
44–52
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The engine characteristic used in simulations is that of a typical turbofan aircraft engine, and its Thrust-Specific-Fuel-Consumption is derived against the Mach number and the thrust as the independent variables, serving as an example and also illustrating some further properties of the algorithm.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Characteristic curves or surfaces of engines are important regarding the safety and the efficiency of operation.
📊
Key Findings & Data:Deriving these functions automatically, and then monitoring them constantly against their longer term variations would provide the necessary information required to find the optimal operating points, to detect impending failures or to diagnose after a failure.
💡
Conclusion & Impact:The engine characteristic used in simulations is that of a typical turbofan aircraft engine, and its Thrust-Specific-Fuel-Consumption is derived against the Mach number and the thrust as the independent variables, serving as an example and also illustrating some further properties of the algorithm.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Characteristic curves or surfaces of engines are important regarding the safety and the efficiency of operation. Deriving these functions automatically, and then monitoring them constantly against their longer term variations would provide the necessary information required to find the optimal operating points, to detect impending failures or to diagnose after a failure. This paper discusses the use of a learning algorithm for this purpose. The algorithm has originally been used for building heating automation, and in this paper the feasibility and the effects of the algorithm parameters for a jet engine fuel consumption application are investigated after presenting the algorithm and studying some of its fundamental properties. The engine characteristic used in simulations is that of a typical turbofan aircraft engine, and its Thrust-Specific-Fuel-Consumption is derived against the Mach number and the thrust as the independent variables, serving as an example and also illustrating some further properties of the algorithm.

🔖

Cite This Article

HIZAL, N. A. (2022). Monitoring jet engine characteristics by a learning algorithm. ARI The Bulletin of the Istanbul Technical University, Cilt: 53 - Sayı: 1, 44–52. https://ajindex.com/articles/448178

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (1)

  1. [I] J. Leimgruber, R. Hribar, and R. Bieri, Sulzer Technical Review 66, 28 (1984). [2] J. Leimgruber, P. Lipsky, and A. Reichlin, Sulzer Technical Review 70, 19 (1988). [3] N. A. Hizal, Proc. MAMKON '97, Istanbul Technical University, Faculty of Mechanical Engineering, 496 (1997). [4] N. A. Hızal, TÜBİTAK Journal of Engineering and Environmental Sciences 23, 209 (1999). [5] N. A. Hızal, TÜBİTAK Journal of Engineering and Environmental Sciences 22, 109 (1998). [6] K. J. Âström and B. Wittenmark, Adaptive Control (Addison-Wesley, 1989). [7] K. J. Âström and B. Wittenmark, Computer Controlled Systems (Prentice - Hall, 1984). [8] P. G. Hill and C. R. Peterson, Mechanics and Thermodynamics of Propulsion (Addison- Wesley, 1967). [9] J. D. Mattingly, W. H. Heiser, and D. H. Daley, Aircraft Engine Design (American Institute of Aeronautics and Astronautics, 1987). [10] J. L. Kerrebrock, Aircraft Engines and Gas Turbines (2nd Edition, The MIT Press, 1992). [II] I. E. Treager, Aircraft Gas Turbine Engine Technology (3rd Edition, McGraw Hill, 1996). [12] J. R. Leigh, Applied Digital Control (Prentice-Hall, 1985)