Open AccessPROBABILISTIC ANALYSIS OF THE MAXIMAL LOAD OF INDUSTRIAL MACHINES
Author(s) -
Zdeněk Folta,
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Pavel Skalny,
PETR MATEJKA,
MIROSLAV TROCHTA,
DANIEL PISTACEK,
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AUTHOR_ID,
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Publication year - 2021
Publication title -
mm science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.195
H-Index - 10
eISSN - 1805-0476
pISSN - 1803-1269
DOI - 10.17973/mmsj.2021_12_2021106
Subject(s) - log normal distribution , gauge (firearms) , maximization , reliability (semiconductor) , probabilistic logic , software , computer science , probability distribution , reliability engineering , mathematics , statistics , engineering , mathematical optimization , physics , materials science , power (physics) , quantum mechanics , metallurgy , programming language
This study describes the statistical analysis of peak forces of industrial washing machines. The data source comes from twelve different machines. The measurements are done using a force gauge installed in places for fastening screws. A new software based on LabView has been developed to gauge the acting forces. To determine extreme force values, various probability distributions are applied. Furthermore, a convex combination of lognormal distribution is used in more complicated cases. The parameters of the lognormal mixtures are determined using modified an Expectation-maximization algorithm. Finally, the achieved results are interpreted with regard to the engineering design and to the operating reliability.