Analytical Neural Network System for the Helicopter Turboshaft Engines Operating Modes Classification
Vladov S. Avkurova Z. Lytvyn V. Zhovnir Y.
2024Research Institute of Intelligent Computer Systems
International Journal of Computing
2024#23Issue 3342 - 359 pp.
A novel neural network-based analytical system has been developed for classifying helicopter turboshaft engine operating modes during flight operations. This system utilizes a neural network architecture comprising an input layer with three neurons, two fully connected hidden layers, and an output layer with two neurons. The proposed approach demonstrates an exceptional recognition accuracy of 0.997 (99.7%) across steady-state, unsteady, and transient operating modes of helicopter turboshaft engines. A new method for training this neural network has been introduced, employing forward propagation, loss calculation, backpropagation, and weight updates, enhanced by an adaptive learning rate and the cross-entropy function as the loss criterion. The method also incorporates a novel modified Smooth ReLU activation function for hidden layer neurons. This innovation led to a near-perfect accuracy in network training and reduced the loss to 0.025 (2.5%), highlighting the high quality and reliability of the neural network in classifying engine operating modes during flight. Furthermore, it has been empirically shown that the application of this neural network significantly reduces type I errors by a factor of 2.09 to 2.14 and type II errors by 2.05 to 2.21 times compared to traditional classifiers based on ART-1 and BAM networks. This advancement marks a substantial improvement in classification accuracy and error minimization for helicopter turboshaft engine operating modes.
analytical system , classifier , classifying , flight conditions , helicopter turboshaft engines , neural network , operation mode , recognizing
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Kremenchuk Flight College of Kharkiv National University of Internal Affairs, Kremenchuk, 39605, Ukraine
Karaganda industrial university, Temirtau, 101400, Kazakhstan
L.N. Gumilyov Eurasian National University, Astana, 010008, Kazakhstan
Lviv Polytechnic National University, Lviv, 79013, Ukraine
Kremenchuk Flight College of Kharkiv National University of Internal Affairs
Karaganda industrial university
L.N. Gumilyov Eurasian National University
Lviv Polytechnic National University
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