Centralized adaptive algorithm for the procedure of optimal conditional search for the place of failure of dynamic systems

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Abstract

Modern and promising dynamic systems of aviation weapon systems of the Aerospace Forces (hereinafter for brevity in the text – the system) are characterized by a more complex structure and increased requirements for reliability and efficiency of functioning. Moreover, systems of generation 4 ++ and 5 are quite unique and (or) small-scale, and their constituent elements are basically miniature and expensive, therefore, a prerequisite for fulfilling the requirements for traceability to systems and constituent elements is the maximum possible preservation of the quality of the initial basis with the inevitable new interpretation of additional information. Further introduction of artificial intelligence technologies into the practice of solving problems of technical diagnostics makes it possible to obtain adequate results with almost any accuracy. The reliability of the results will be determined solely by the punctuality of the data assignment and the completeness of the mathematical description of systems, processes and events in the subject area under consideration. Therefore, it should be expected that the further development of the theory and practice of technical diagnostics will follow the path of a deeper study of the physical processes occurring in systems, and a more accurate mathematical specification of procedures for finding the place of failure of systems. The aim of the work is to establish the development of an interconnected set of mathematical and logical block diagrams for obtaining and applying diagnostic knowledge in the software and mathematical support of modern and advanced onboard means of monitoring the technical state of systems. The priority direction in such studies is the differentiated selection of approved methods of technical diagnostics with the choice of the appropriate mathematical and algorithmic apparatus for direct probabilistic modeling of systems. A block diagram is presented and a variant of the practical application of the developed algorithm for sequential recognition of system failures (hereinafter referred to as an algorithm, if it is clear from the context of the presentation of the material that it is the developed algorithm) is considered. By using the algorithm, there is no need for decomposition of systems, and the potential for multiple repetitions of the results of a random process of changing the technical states of systems predetermines the possibility of obtaining large samples with high accuracy of software compilation.

About the authors

Aleksandr V. Podkopaev

Air Force Military educational and scientific center “Air Force academy named after professor N. E. Zhukovsky and Y.A. Gagarin”

Author for correspondence.
Email: aleksanpodkopaev@mail.ru

Cand. Sc., associate professor, professor of the department operation of aircraft weapon systems (and sighting systems)

Russian Federation, 54а, Starykh bol’shevikov St., Voronezh, 394064

Ilya A. Podkopaev

State flight test center named after V. P. Chkalov

Email: ilya.podkopaev.96@bk.ru

engineer and tester

Russian Federation, military unit 27237, Moscow region, Shchelkovo-10, 141110

References

  1. Kompleksy aviatsionnogo vooruzheniya [Aircraft weapon systems]. Ed. by V. A. Konurkin. Moscow, AFIA named after professor N. E. Zhukovsky Publ., 2005, 947 p.
  2. Ekspluatatsiya kompleksov aviatsionnogo vooruzheniya [Exploitation of aircraft weapons systems]. Ed. by A. I. Buravlev. Moscow, AFIA named after professor N. E. Zhukovsky Publ., 2006, 287 p.
  3. Alexandrovskaya L. N., Afanasyev A. P., Lisov A. A. Sovremennyye metody obespecheniya bezotkaznosti slozhnykh tekhnicheskikh system [Modern methods for ensuring the reliability of complex technical systems]. Moscow, Logos Publ., 2001, 206 p.
  4. Robototekhnicheskiye sistemy podgotovki i kontrolya kompleksov aviatsionnogo vooruzheniya [Robotic systems for the preparation and control of aircraft weapons systems]. Ed. by V. D. Zakutaev. Moscow, AFMESC AFA named after professor N. E. Zhukovsky and Yu. A. Gagarin Publ., 2011, 360 p.
  5. Sistemy kontrolya i metrologicheskoye obespecheniye aviatsionnogo vooruzheniya [Control systems and metrological support of aviation weapons]. Ed. by V. V. Sergushin. Moscow, AFIA named after professor N. E. Zhukovsky Publ., 1992, 372 p.
  6. Kontrol’ i upravleniye tekhnicheskim sostoyaniyem kompleksov aviatsionnogo vooruzheniya [Monitoring and control of the technical condition of aircraft weapons systems]. Ed. by O. A. Lapsakov. Moscow, AFIA named after professor N. E. Zhukovsky Publ., 1994, 312 p.
  7. Morozova Т. Yu., Bekarevich А. А., Budadin О. N. [The new approach to identifying defects in product materials]. Kontrol’. Diagnostika. 2014, No. 8, P. 42–48 (In Russ.).
  8. Kastner J., Heinzl C., Plank B. et al. [New X-ray computed tomography methods for research and industry]. Мaterialy VII Mezhdunar. nauch. konf. po promyshlennoy komp’yuternoy tomografii [Materials VII Intern. Scientific Conf. on Industrial Computed Tomography]. Leuven, 2017. P. 1–10.
  9. Posadov V. V. (jr.), Posadov V. V., Remizov A. E. [Algorithms of aerodynamic and aeroelastic vibrations diagnostics in compressor of gas turbine engine]. Kontrol'. Diagnostika. 2016, No. 3, P. 34–38 (In Russ.).
  10. Soldatov A. A., Evdokimov Yu. K. [Construction of a multifunctional automated system and control algorithms and diagnostics of the operating modes of electricity metering systems of power grid substations]. Pribory i sistemy. Upravleniye, kontrol’, diagnostika. 2017, No. 3, P. 1–10 (In Russ.).
  11. Asylbekov N. S., Kydyralieva G. Zn., Omorov T. T. [Faulty elements identification of digital system on the basis of the analysis neural network]. Pribory i sistemy. Upravleniye, kontrol’, diagnostika. 2017, No. 7, P. 50–53 (In Russ.).
  12. Dmitriev A. K., Maltsev P. A. Osnovy teorii postroyeniya i kontrolya slozhnykh sistem [Fundamentals of the theory of construction and control of complex systems]. Leningrad, Energoatomizdat Publ., 1988, 192 p.
  13. Vunsh G. Teoriya sistem [System theory]. Moscow, Sovetskoe radio Publ., 1978, 288 p.
  14. Director S., Rourer D. Vvedeniye v teoriyu sistem [Introduction to systems theory]. Moscow, Mir Publ., 1974, 464 p.
  15. Gorelik A. L., Skripkin V. A. Metody raspoznavaniya [Recognition methods]. Moscow, Vysshaya shkola Publ., 1984, 208 p.
  16. Korn G., Korn T. Spravochnik po matematike dlya nauchnykh rabotnikov i inzhenerov [Mathematical handbook for scientists and engineers]. Moscow, Nauka Publ., 1984, 832 p.

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