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Modelling of partial capability states and estimation of the level of operational readiness for integrated avionics systems

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Maintaining continuity of use is extremely important in the modern world and in particular in the armed forces. Analysis of the system exploitation course allows obtaining information about the time in which the system was in a state of total or partial capability or in a state of inability to use. Based on information about the amount of time spent in a given state, user of the system or device can plan the operation of the device in the context of the future. On the basis of operating data, operational readiness can also be calculated, which information can be found in the article. The fallowing paper presents the possibilities and conditions of forming operating readiness for full and partial capability states of a ZSŁ (Integrated Communications Systems) with its selected components current serviced at AFIT (Air Force Institute of Technology). A probabilistic approach to the analysis of the issues associated with the determination and prediction of reliability and capability of integrated communications systems was discussed, with the use of the theory of operating states and Markov chains. The assumptions to the adopted method of modelling operating states for electronically integrated ZSŁ type communications systems were presented. Conditions for the determination of operational readiness and the possibility of forming it on the basis of an IT system were presented based on the obtained results of analytical studies. The article also presents the test stand for the integrated communication system. Information on capability of individual system components is also included, an example is based on the SK1 communication server. It's presented graph of transitions between it's individual partial capability states. The server can be in five operating states. By modelling individual components of the system in this way, you can estimate how the system will behave during operation. At the end of the article there is information about the actual and estimated operational readiness of the system.
Rocznik
Strony
27--39
Opis fizyczny
Bibliogr. 17 poz., fot., rys., wykr.
Twórcy
  • Air Force Institute of Technology, Warsaw, Poland
  • Air Force Institute of Technology, Warsaw, Poland
  • Air Force Institute of Technology, Warsaw, Poland
  • Air Force Institute of Technology, Warsaw, Poland
  • Air Force Institute of Technology, Warsaw, Poland
Bibliografia
  • [1] Barlow, R.E., Proschan, F., 1975. Statistical Theory of Reliability and Testing Probability Models. New York: Holt, Rienhart and Wilson.
  • [2] Kececioglu, P., 1995. Maintainability, Availability and Operational Readiness Engineering Handbook. New Jersey: Prentice Hall.
  • [3] Knopik, L., Migawa, K., 2018. Multi-state model of maintenance policy. Poland: Maintenance and Reliability, 20(1), 125–130.
  • [4] Knopik, L., Migawa, K., Wdzięczny, A., 2016. Profit optimization in maintenance system. Poland: Polish Martime Research, 1(89), 193-198.
  • [5] Lewitowicz, J., 2006. The basics of aircraft operation, Aircraft operation systems. Poland, Warsaw: AFIT (Volume 3).
  • [6] Lewitowicz, J., Kustroń, K., 2003. The basics of aircraft operation, properties and performance of aircraft. Poland, Warsaw: AFIT (Volume 2).
  • [7] Michalak, S., Pazur, A., Szelmanowski, A., 2014. AFIT’s laboratory test equipment to optimize the integrated avionics systems for polish military aircrafts. Italy, Benevento: IEEE International Workshop on “Metrology for Aerospace”.
  • [8] Pazur, A., 2010. Testing the reliability of communication systems based on a specialized communication server. Poland, Warsaw: AFIT.
  • [9] Pazur A., 2015. Technology No. 50/43/15 Ser-vice and repair of the integrated helicopter communication system Mi8, Mi17, (Mi171V), Mi24 (every 2 years of operation). Poland, Warsaw: AFIT.
  • [10] Pazur, A. Szelmanowski, A., 2014. AFIT’s laboratory test equipment to optimize the integrated communication systems for polish military helicopters. Benevento, Italy: IEEE International Workshop on Metrology for Aerospace.
  • [11] Pazur, A., Szelmanowski, A., Kowalczy,k H., Janik, P., 2016. The polish electronically integrated avionics systems for military aircraft. Florence, Italy: 3rd IEEE International Work-shop on “Metrology for Aerospace”.
  • [12] Pazur, A., 2012. Technology no. 106/43/2012 of the Integrated Avionic System of the W3PL helicopter level "D" communication server SK1 ver.2. Poland, Warsaw: AFIT.
  • [13] Szelmanowski, A., 2004. Integration stand-point of avionics systems based on digital data buses. Poland, Warsaw: AFIT.
  • [14] Restel, F., 2015. The Markov reliability and safety model of the railway transportation system. Safety and reliability: methodology and applications. Poland, Wroclaw: Proceedings of the European Safety and Reliability Conference, ESREL 2014, 14-18 September, CRC Press/Balkema, 303-311.
  • [15] Zieja, M., Ważny, M., Stępień, S., 2016. Distribution determination of time of exceeding permissible condition as used to determine life-times of selected aeronautical devices/systems. Poland: Maintenance and Reliability, 18(1), 57-64.
  • [16] Zieja, M., Szelmanowski, A., Pazur, A., Paterek, W., 2019, Analysis and assessment of reliability and operational readiness of the integrated communication system ZSŁ. Analytical materials AFIT, Poland, Warsaw: AFIT.
  • [17] Zieja, M., Smoliński, H., Gołda, P., 2015, Information systems as a tool for supporting the management of aircraft flight safety. Archives of Transport, 36(4), 67-76.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-924a0dd4-5a9e-4fd1-b53e-7f3888687260
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