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Avtomatika i Telemekhanika, 2012, Issue 8, Pages 130–143 (Mi at4056)  
This article is cited in 2 scientific papers (total in 2 papers)

Computer-Aided Management Information Systems, Production Control Systems

Using nonlinear approximation to estimate the parameters of plant time to failure

N. V. Lubkov

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Full-text PDF (597 kB) Citations (2)
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Abstract: A method was proposed for construction of the generalized distributions employed in the graphs-analytical method which makes use of the experimental data to estimate the distribution parameters of the plant time to failure. The existence conditions for generalized distributions were formulated. The resources of the proposed approach were illustrated by way of analysis of the modeled sample data.
Presented by the member of Editorial Board: B. G. Volik

Received: 06.02.2011
English version:
Automation and Remote Control, 2012, Volume 73, Issue 8, Pages 1380–1389
DOI: https://doi.org/10.1134/S0005117912080115
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. V. Lubkov, “Using nonlinear approximation to estimate the parameters of plant time to failure”, Avtomat. i Telemekh., 2012, no. 8, 130–143; Autom. Remote Control, 73:8 (2012), 1380–1389
Citation in format AMSBIB
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\paper Using nonlinear approximation to estimate the parameters of plant time to failure
\jour Avtomat. i Telemekh.
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\pages 130--143
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\transl
\jour Autom. Remote Control
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\vol 73
\issue 8
\pages 1380--1389
\crossref{https://doi.org/10.1134/S0005117912080115}
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Linking options:
  • https://www.mathnet.ru/eng/at4056
  • https://www.mathnet.ru/eng/at/y2012/i8/p130
    • This publication is cited in the following 2 articles:
    1. G. G. Grebenyuk, N. V. Lubkov, “Nadezhnostnyi podkhod k analizu ustoichivosti inzhenernoi infrastruktury”, UBS, 99 (2022), 157–181  mathnet  crossref
    2. Igor Zub, Yuri Ezhov, Viktor Shchemelev, Lecture Notes in Civil Engineering, 130, Proceedings of the XIII International Scientific Conference on Architecture and Construction 2020, 2021, 108  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    Abstract page:245
    Full-text PDF :152
    References:40
    First page:14
     
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