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Failure and reliability analysis of heavy firefighting and rescue vehicles: a case study

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of the article was to analyse the reliability, maintainability, and availability estimates of firefighting and rescue engines. Analysing the reliability parameters of heavy firefighting and rescue vehicles over time requires knowledge of their failures. In this article, failure data from the six years of maintenance of ten heavy firefighting and rescue vehicles from ten were analysed in relation to two main subsystems. Reliability analysis was performed and the best-fit distribution was found, with the parameters calculated. For both subsystems, the chassis combined with the cabin and the superstructure, the 2P-Weibull distributionwas identified as the most suitable fit. The availability and maintenance indicators for each vehicle and the individual subsystems were calculated. It was clearly defined that there exists a significant difference between the two subsystems analysed in terms of failure characteristics, as well as maintainability and availability parameters.
Rocznik
Strony
art. no. 175505
Opis fizyczny
Bibliogr. 52 poz., fot., tab., wykr.
Twórcy
  • Faculty of Transport and Civil Engineering, Poznan University of Technology, Piotrowo Str. 3, 60-965 Poznan, Poland
  • Institute of Mechanical Science, Vilnius Gediminas Technical University, J. Basanavičiaus Str. 28, LT-03224 Vilnius, Lithuania
  • Fire University, Słowackiego Str. 52/54, 01-629, Warszawa, Poland
  • Fire University, Słowackiego Str. 52/54, 01-629, Warszawa, Poland
  • Fire University, Słowackiego Str. 52/54, 01-629, Warszawa, Poland
  • Fire University, Słowackiego Str. 52/54, 01-629, Warszawa, Poland
  • District Headquarters of the State Fire Service in Wołów, Poland
  • Faculty of Transport and Civil Engineering, Poznan University of Technology, Piotrowo Str. 3, 60-965 Poznan, Poland
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2cd9a7db-26bc-4ec9-8458-98e995336061
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