Keywords
radar system
5VL
unserviceability function Ro(t)
optimising the renewal
5VL
unserviceability function Ro(t)
optimising the renewal
Abstract
The article presents the problem of determining the period of optimal service of the radar system on the basis of reliability studies of its exploitation process. The problem of optimal renewal is particularly important for technical objects that operate in continuous motion, and such an object is the radar system. The basis of the method proposed for optimising the renewal of the radar is its diagnosis in (5VL) logic - five-valued logic. Only later, in the second stage, should reliability studies be realised. The basis of this research is the development of a model of the radar's operating process, which uses the technical states diagnosed in the radar. Based on the dependencies describing this model, it was possible to calculate in a simulation the value of the reliability function Ro(t) of the radar in its exploitation process. In addition, during this research, the values of the probability of the radar staying in one of its states diagnosed (states of use) after any number of transitions between states were also determined. In a further stage of the research, the unserviceability function Ro(t) was plotted for time (t = 5000 [h]). An important part of this research was an estimation of the probability of the occurrence of individual states in the object. The results obtained from the research made it possible to plot the Ro(t) characteristic and to plot on it the probability values of the occurrence of the recognised states in the object under study. The probability values marked of the states identified on the Ro(t) characteristic unambiguously determine the times of their occurrence.References
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2. Duer S.: Examination of the reliability of a technical object after its regeneration in a maintenance system with an artificial neural network. Neural Computing & Applications. 2012, Vol. 21, No. 3, pp. 523-534.
3. Duer S., Efektywność eksploatacji sprzętu przeciwlotniczego. Praca naukowo-badawcza. Koszalin; WSOWOPL; 1994-1995; 71s. (współautor). Wyższa Szkoła Oficerska Wojsk Obrony Przeciwlotniczej, Nr bibl. BG WSOWOPL wewn. 1035/94.
4. Stawowy M., Rosiński A., Paś J., Duer S., Harničarova M., Perlicki K.: The Reliability and Exploitational Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets. Energies 2023, 16, 4621. https://doi.org/10.3390/en16124621
5. Duer S. Assessment of the Operation Process of Wind Power Plant’s Equipment with the Use of an Artificial Neural Network. Energies, 2020, 13, 2437, doi:10.3390/en13102437.
6. Nakagawa, T. Maintenance Theory of Reliability; Springer: London, UK, 2005.
7. Nakagawa, T.; Ito, K. Optimal inspection policies for a storage system with degradation at periodic tests. Math. Comput. Model. 2000, 31, 191–195.
8. Wang, Q.; He, Z.; Lin, S.; Liu, Y. Availability and Maintenance Modeling for GIS Equipment Served in High‐Speed Railway Under Incomplete Maintenance. IEEE Transactions on Power Delivery, Vol. 33, No. 5, 2018.
9. Epstein, B.; Weissman, I. Mathematical Models for Systems Reliability; CRC Press/Taylor & Francis Group: Boca Raton, FL, USA, 2008.
10. Dyduch, J.; Paś, J.; Rosiński, A. The Basic of the Exploitation of Transport Electronic Systems; Publishing House of Radom University of Technology: Radom, Poland, 2011.
11. Siergiejczyk, M.; Paś, J.; Rosiński, A. Issue of reliability–exploitation evaluation of electronic transport systems used in the railway environment with consideration of electromagnetic interference. IET Intell. Transp. Syst. 2016, 10, 587–593. https://doi.org/10.1049/iet-its.2015.0183.
12. Stawowy, M.; Rosinski, A.; Pas, J.; Klimczak, T.: Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices; Published: Jan 2021 in Energies; DOI: 10.3390/EN14020486
13. Siergiejczyk, M.; Rosiński, A. Analysis of power supply maintenance in transport telematics system. Solid State Phenom. 2014, 210, 14–19. https://doi.org/10.4028/www.scientific.net/SSP.210.14.
14. Stawowy, M.; Olchowik, W.; Rosiński, A.; Dąbrowski, T. The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors. Remote Sens. 2021, 13, 693. https://doi.org/10.3390/rs13040693.
15. Paś, J.; Rosiński, A.; Chrzan, M.; Białek, K. Reliability-Operational Analysis of the LED Lighting Module Including Electromagnetic Interference. IEEE Trans. Electromagn. Compact. 2020, 62, 2747–2758. https://doi.org/10.1109/TEMC.2020.2987388.
16. Dhillon, B.S. Applied Reliability and Quality, Fundamentals, Methods, and Procedures; Springer: London, UK, 2006; p. 186.
18. Duer S.: Metodyka lokalizacji i usuwania uszkodzeń sprzętu baterii rakiet przeciwlotniczych. Cz. 1. SSWN. s. 83 (współautor). Skrypt nr bibl. BG WSOWOPL wewn. 567/89, Koszalin WSOWOPL 1989.
19. Duer S.: Lokalizacja uszkodzeń w układzie nadawczym stacji RSWP. Dokumentacja użytkowa programu, s.13. (współautor) nr bibl. BG WSOWOPL 879/90. WSOWOPL Koszalin 1989
20. Duer S.: Problemy modernizacji przeciwlotniczego zestawu rakietowego małego zasięgu. PWL i OP nr 7 Poznań 1997.
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