Implementation of the majority method for engine speed diagnostics of the turbojet engine MPM-20

L. Madarász, R. Andoga, L. Főző, T. Karol, J. Judičák
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Abstract

The paper deals with modeling and diagnostics of complex systems. In the area of modeling, the authors describe dynamic models of dependence of speed upon fuel flow supply of a small turbojet engine MPM-20. The first model is done with use of neural networks and the second is a linear model. Both models are then methodologically incorporated into the diagnostic and backup system of the optical sensor measuring the speed of the engine.
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MPM-20涡喷发动机转速诊断多数方法的实现
本文主要研究复杂系统的建模和诊断问题。在建模方面,建立了小型涡喷发动机MPM-20转速随燃油供给关系的动力学模型。第一个模型是使用神经网络完成的,第二个是线性模型。然后,这两个模型在方法上被纳入测量发动机速度的光学传感器的诊断和备份系统。
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