Automated system for diagnostics of shot state parameters based on features of different physical nature
Keywords:
Acoustic diagnostics, muzzle blast dynamics, artillery shot verification, optoelectronic monitoring, parameter estimation, signal processingSynopsis
This chapter presents an integrated approach to the verification and diagnostic assessment of an artillery shot based on the joint analysis of acoustic signals and optoelectronic observations. The proposed method combines physical modeling of ballistic and muzzle wave formation with data processing techniques aimed at extracting informative parameters from heterogeneous measurement channels. Particular attention is paid to the synchronization of acoustic records with video-based observations of the muzzle blast dynamics, which allows improving the reliability of determining key shot characteristics. A unified framework for representing measured and tabulated parameters is introduced, enabling consistent comparison of experimental data with reference values. The chapter discusses the principles of feature selection, the formation of diagnostic indicators, and the interpretation of results under conditions of incomplete or uncertain information. The obtained results demonstrate that the integration of acoustic and visual data provides additional robustness of diagnostic conclusions and can be used to enhance automated monitoring systems for artillery equipment. The proposed approach may be applied to the development of advanced verification procedures and to the improvement of decision-support tools in complex technical systems where direct measurement of internal processes is limited.
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Pages
170-193
Text Identifier of this Chapter
Chapter 7
Published
June 19, 2026
Copyright (c) 2026 Volodymyr Demydenko, Yevhenii Dobrynin, Oleksii Maksymov, Ruslan Riaboshapka
How to Cite
Demydenko, V., Dobrynin, Y., Maksymov, O., & Riaboshapka, R. (2026). Automated system for diagnostics of shot state parameters based on features of different physical nature. In M. Maksymov, P. Gultsov, O. Toshev, O. Sidelnykov, R. Riaboshapka, O. Brunetkin, V. Davydov, V. Demydenko, M. Maksymov, O. Maksymova, Y. Dobrynin, O. Maksymov, & V. Boltenkov, Simulation modeling of artillery systems for improving game simulators. From theory to practice (pp. 170-193). Scientific Route OÜ®. https://doi.org/10.21303/978-9908-8450-1-2.ch7
