Exponential model deviations in reliability prediction of durable recoverable systems
DOI:
https://doi.org/10.18372/1990-5548.48.11221Keywords:
lambda-method deviations, failures distribution model, restore function, failure flow parameter, average life between failuresAbstract
Quantitative estimations of lambda-method errors are represented at forecasting of restorationfunction, failures flow parameter and an average operating time between failures of highly reliable technicalsystems under conditions of long operationReferences
V. Grіbov, Y. Kofanov, and V. Strelnіkov, Estimation and prediction of reliability of on-board aerospace. Monograph. Moscow, National Research University Higher School of Economics. 496 p. (in Russian)
Reliability engineering. The methods of calculation of the reliability of experimental data: GOST 3004–95, Kyiv, State Standard of Ukraine, 1995, 122 p. (in Ukraine)
Reliability engineering. Models failures. Basic provisions: GOST 3433–96, Kyiv, State Standard of Ukraine, 1996, 42 p. (in Ukraine)
Reliability engineering. Terms and definitions: GOST 2860–94. Kyiv, Ukraine State Standard, 1994, 92 p. (in Ukraine)
V. Strelnikov and A. Feduhin, Estimation and forecasting of the reliability of electronic components and systems: monograph. Kyiv, Logos, 2002, 488 p. (in Russian)
V. M. Gribov, Yu. V. Hryshchenko, and O. V. Koshokhina. “To the question on errors of dependability calculation based on the exponential model of failures of distribution”. Electronics and control systems. Kyiv, 2015, no. 1(43), pр. 59–66.
Downloads
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).