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Applied Sciences
Volume 15
Issue 21
10.3390/app152111770
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Software System for Thrust Prediction and Preliminary Engineering Design of Aircraft Using Visual Recognition and Flight Parameters

by
Juan Du
1,2,
Senxin Mao
1,2,
Rui Wang
3,
Yue Ma
4,
Mengchuang Zhang
4,* and
Zhiping Yin
4,*
1
AVIC Shaanxi Aircraft Industry Corporation Ltd., Hanzhong 723000, China
2
School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710072, China
3
School of National Elite Institute of Engineering, Northwestern Polytechnical University, Xi’an 710072, China
4
School of Civil Aviation, Northwestern Polytechnical University, Xi’an 710072, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2025, 15(21), 11770; https://doi.org/10.3390/app152111770 (registering DOI)
Submission received: 24 September 2025 / Revised: 25 October 2025 / Accepted: 1 November 2025 / Published: 4 November 2025
(This article belongs to the Section Aerospace Science and Engineering)
Versions Notes

Abstract

Accurate estimation of engine thrust and overload is crucial for ensuring structural integrity and optimizing the aircraft’s life-cycle design. To address this issue, this study develops an integrated thrust and load prediction framework that combines vision-based flight maneuver recognition with an improved transformer-based deep learning model (YOLO), leveraging measured flight parameters. After maneuver recognition, the model achieves a mean absolute error of 1.86 and R2 of 0.97 in prediction. The framework is implemented via a Python-based software system with a MySQL database, supporting functionalities including thrust/load prediction, trajectory visualization, and performance evaluation. Comparative experiments demonstrate that the framework achieves an average maneuver recognition accuracy of 81.06%, outperforming the existing PLR-PIP and DTW methods. This approach provides high-precision and reliable thrust data as well as tool support for real-time thrust estimation, fatigue life assessment, and flight safety risk prevention.
Keywords: flight parameter data; vision-based recognition of flight maneuver; aircraft flight dynamics; thrust spectrum design; software system for predicting required thrust flight parameter data; vision-based recognition of flight maneuver; aircraft flight dynamics; thrust spectrum design; software system for predicting required thrust

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MDPI and ACS Style

Du, J.; Mao, S.; Wang, R.; Ma, Y.; Zhang, M.; Yin, Z. Software System for Thrust Prediction and Preliminary Engineering Design of Aircraft Using Visual Recognition and Flight Parameters. Appl. Sci. 2025, 15, 11770. https://doi.org/10.3390/app152111770

AMA Style

Du J, Mao S, Wang R, Ma Y, Zhang M, Yin Z. Software System for Thrust Prediction and Preliminary Engineering Design of Aircraft Using Visual Recognition and Flight Parameters. Applied Sciences. 2025; 15(21):11770. https://doi.org/10.3390/app152111770

Chicago/Turabian Style

Du, Juan, Senxin Mao, Rui Wang, Yue Ma, Mengchuang Zhang, and Zhiping Yin. 2025. "Software System for Thrust Prediction and Preliminary Engineering Design of Aircraft Using Visual Recognition and Flight Parameters" Applied Sciences 15, no. 21: 11770. https://doi.org/10.3390/app152111770

APA Style

Du, J., Mao, S., Wang, R., Ma, Y., Zhang, M., & Yin, Z. (2025). Software System for Thrust Prediction and Preliminary Engineering Design of Aircraft Using Visual Recognition and Flight Parameters. Applied Sciences, 15(21), 11770. https://doi.org/10.3390/app152111770

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