Data-Driven Modelling of Gas Turbine Engines

Price: $63.43
(as of Dec 27,2024 08:15:15 UTC – Details)

Publisher ‏ : ‎ LAP LAMBERT Academic Publishing (June 1, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 96 pages
ISBN-10 ‏ : ‎ 6206162060
ISBN-13 ‏ : ‎ 978-6206162063
Item Weight ‏ : ‎ 5.7 ounces
Dimensions ‏ : ‎ 5.91 x 0.22 x 8.66 inches

Gas turbine engines play a crucial role in various industries, including aviation, power generation, and marine propulsion. To optimize their performance and efficiency, data-driven modelling techniques are being increasingly used.

In this post, we will explore the concept of data-driven modelling of gas turbine engines and its benefits. Data-driven modelling involves using large amounts of operational data collected from sensors and other sources to develop mathematical models that accurately represent the behavior of the engine.

By analyzing this data, engineers can identify patterns and trends that can help improve the performance, reliability, and maintenance of gas turbine engines. This approach allows for more accurate predictions of engine behavior under different operating conditions, leading to better decision-making and optimization of engine performance.

Furthermore, data-driven modelling can also help in the development of advanced control systems that can adapt to changing operating conditions in real-time, leading to improved efficiency and reduced emissions.

Overall, data-driven modelling of gas turbine engines is a powerful tool that can help engineers unlock new insights and optimize the performance of these critical machines. By harnessing the power of data, we can ensure that gas turbine engines continue to play a vital role in powering our world efficiently and sustainably.
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