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Data Simulation with the Use of Weibull Analysis for Evaluation of Reliability of Chosen Assortment

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the dissertation the data modeling has been shown for the data that regards the damages, which value is above zero. With the use of Weibull distribution, with prior regression and correlation analysis chosen parameters that defines the life time and failure level of two populations of AlSi17Cu5 were defined. The calculation sheet of reliability allows to create so called survival diagram, and on the basis of durability data the average warrantee can be determined, on the pre-exploitation period.
Rocznik
Strony
47--50
Opis fizyczny
Bibliogr. 15 poz., rys., tab., wykr.
Twórcy
  • Silesian University of Technology, Faculty of Materials Science, Krasińskiego 8, 40-019 Katowice, Poland
autor
  • Fortum Power and Heat Poland Company – Maintenance Department, Walońska 3-5, 50-413 Wroclaw, Poland
Bibliografia
  • [1] PN-EN 62309:2005 Reliability of products containing parts used repeatedly. Functionality and research. (in Polish).
  • [2] PN-EN 61703:2005 Ready mathematical expressions of reliability and provide a means of handling. (in Polish).
  • [3] Piątkowski, J. (2011). Estimation of Materials Reliability on Al-Si with Cu, Ni and Mg Alloy Used in the Automotive Industry. Research and Teaching Technologies. 3, 7-16.
  • [4] Bucior, J. (2004). Basic theory and reliability engineering. Rzeszów: Publ. University of Technology (in Polish).
  • [5] www.qualitydigest.com/html/weibull.html W.W. Dorner, Using Excel for Weibull analysis. (2010), 1-9.
  • [6] Greber, T. (2000). Statistical process control-improving the quality of Statistic. Cracow: StatSoft (in Polish).
  • [7] Gierek, A., Piątkowski, J. & Szymszal, J. (2001). Influence of technical process reliability of AlSi alloy as a structural material. Archives of Foundry. 1(2/2), 109-116.
  • [8] Hallinan Jr., A. (1993). Review of the Weibull Distribution. Journal of Quality Technology. 25, 85-93.
  • [9] Weibull, W. (1939). A statistical theory of the strength of materials. Generalstabens Litografiska Anstalts Förlag, 45-59.
  • [10] Weibull, W. (1951). A statistical distribution function of wide applicability. J. of Applied Mechanics. 18, 293-298.
  • [11] McCool, J. (1998). Inference on the Weibull Location Parameter. Journal of Quality Technology. 30, 119-126.
  • [12] Piątkowski, J. (2012). Influence of overheating degree on material reliability of A390.0 alloy. Sol. St. Phen. 191, 23-28.
  • [13] Mackisack, M. & Stillman, R. (1996). A Cautionary Tale About Weibull Analysis. IEEE Reliab. Trans. 45, 244-248.
  • [14] Nelson, W. (1982). Applied Life Data Analysis. John Wiley & Sons.
  • [15] Meeker W. & Escobar L. (1998). Statistical Methods for Reliability Data. John Wiley & Sons.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c44f8c3d-8651-485c-965b-23174605f68e
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