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Sibirskii Zhurnal Industrial'noi Matematiki, 2012, Volume 15, Number 2, Pages 75–85 (Mi sjim727)  

This article is cited in 1 scientific paper (total in 1 paper)

Planning of clarifying observations under the controlling of overhead transmission lines from laser scanning data

V. I. Denisov, V. S. Timofeev, E. A. Khailenko

Novosibirsk State Technical University, Novosibirsk, Russia
Full-text PDF (303 kB) Citations (1)
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Abstract: We present an approach to the planning of clarifying observations of overhead lines. To this end, we process the high-precision data obtained with the use of the technology of laser scanning. We give the results of estimation of the parameters of the generalized lambda distribution of observational errors, which allows us to apply the algorithm for the planning of experiments and obtain the coordinates of the points for the clarifying observations. It is shown that the thus-constructed plans are effective and their application gives a gain in estimation accuracy.
Keywords: planning of experiment, Fisher information matrix, generalized lambda-distribution, regression, controlling of overhead transmission lines.
Received: 16.12.2011
Document Type: Article
UDC: 519.242.5
Language: Russian
Citation: V. I. Denisov, V. S. Timofeev, E. A. Khailenko, “Planning of clarifying observations under the controlling of overhead transmission lines from laser scanning data”, Sib. Zh. Ind. Mat., 15:2 (2012), 75–85
Citation in format AMSBIB
\Bibitem{DenTimKha12}
\by V.~I.~Denisov, V.~S.~Timofeev, E.~A.~Khailenko
\paper Planning of clarifying observations under the controlling of overhead transmission lines from laser scanning data
\jour Sib. Zh. Ind. Mat.
\yr 2012
\vol 15
\issue 2
\pages 75--85
\mathnet{http://mi.mathnet.ru/sjim727}
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  • https://www.mathnet.ru/eng/sjim/v15/i2/p75
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Сибирский журнал индустриальной математики
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