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Wyszukujesz frazę "sampling interval" wg kryterium: Temat

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    Wyświetlanie 1-5 z 5
    Tytuł:
    The effect of sampling interval on the predictions of an asperity contact model of two-process surfaces
    Autorzy:
    Pawlus, P.
    Reizer, R.
    Wieczorowski, M.
    Żelasko, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/200023.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    powierzchnia dwufazowa
    kontakt
    okres próbkowania
    two-process surface
    contact
    sampling interval
    Opis:
    Contact of random machined two-process steel textures with a smooth, flat steel surface is discussed in this paper. Two-process surfaces were machined by vapour blasting followed by lapping. An elastic-plastic contact model was applied, assuming distributed radius of asperities. Calculation procedures allowed the mean surface separation, contact pressure, and area fraction to be computed as functions of sampling intervals. Parameters characterizing the summits important in contact mechanics were calculated for different sampling intervals. Plasticity index of two-process textures was calculated using the modified procedure. It was found that the influence of sampling interval on normal contact depended on the rough surface ability to plastic deformation. The use of a traditional method of calculation overestimated the plasticity index. Peaks from plateau surface region governed contact characteristics of two-process surfaces.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2017, 65, 3; 391-398
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Economic statistical design of variable sampling interval X̅ control chart based on surrogate variable using genetic algorithms
    Autorzy:
    Lee, T.-H.
    Hong, S.-H.
    Kwon, H.-M.
    Lee, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/406970.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    economic design
    surrogate variable
    variable sampling interval
    TRISO Fuel
    genetic algorithms
    Opis:
    In many cases, a X̅ control chart based on a performance variable is used in industrial fields. Typically, the control chart monitors the measurements of a performance variable itself. However, if the performance variable is too costly or impossible to measure, and a less expensive surrogate variable is available, the process may be more efficiently controlled using surrogate variables. In this paper, we present a model for the economic statistical design of a VSI (Variable Sampling Interval) X̅ control chart using a surrogate variable that is linearly correlated with the performance variable. We derive the total average profit model from an economic viewpoint and apply the model to a Very High Temperature Reactor (VHTR) nuclear fuel measurement system and derive the optimal result using genetic algorithms. Compared with the control chart based on a performance variable, the proposed model gives a larger expected net income per unit of time in the long-run if the correlation between the performance variable and the surrogate variable is relatively high. The proposed model was confined to the sample mean control chart under the assumption that a single assignable cause occurs according to the Poisson process. However, the model may also be extended to other types of control charts using a single or multiple assignable cause assumptions such as VSS (Variable Sample Size) X̅ control chart, EWMA, CUSUM charts and so on.
    Źródło:
    Management and Production Engineering Review; 2016, 7, 4; 54-64
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sampling Interval Selection for 3D Surface Roughness Measurements Using the Contact Method
    Autorzy:
    Żyłka, Wojciech Marek
    Powiązania:
    https://bibliotekanauki.pl/articles/2023328.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    sampling interval
    surface texture
    measuring grid
    measuring stylus
    przedział pobierania próbek
    tekstura powierzchni
    siatka pomiarowa
    rysik pomiarowy
    Opis:
    The article presents the impact of sampling interval ΔX=ΔY upon the precision of parametrical assessment of roughness of selected surfaces. Moreover this study introduces theoretical analysis of sampling interval selection based on analysis of the probability of covering an unordered set of extreme points of surface with an ordered set of measurement points. As the result, the final formula was formulated, which enables to calculate the maximum sampling rate ΔX=ΔY. This guarantees a full 100% coverage of the vertices examined by the unevenness of the measuring grid.
    Źródło:
    Advances in Science and Technology. Research Journal; 2021, 15, 4; 283-298
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    ANSDM converters dynamic range design process
    Autorzy:
    Golański, Ryszard
    Godek, Juliusz
    Powiązania:
    https://bibliotekanauki.pl/articles/1402376.pdf
    Data publikacji:
    2020
    Wydawca:
    Państwowa Wyższa Szkoła Zawodowa w Tarnowie
    Tematy:
    delta modulation
    non-uniform sampling
    SNR
    dynamic range
    Lambert W function
    sampling interval
    Maple
    modulacja delta
    nierównomierne próbkowanie
    zakres dynamiczny
    funkcja Lamberta
    odstęp próbkowania
    Opis:
    The results of analytic and simulating works proved that for nonstationary sources, the delta converters with adaptive sampling expose higher coding efficiency than the former proposals, based on uniform sampling methods. The knowledge of the sampling interval range and the algorithm of the Nonuniform Sampling Delta Modulation and Adaptive Nonuniform Sampling Delta Modulation allows finding the necessary number of the sampling intervals and their values that maximizes SNR. The total dynamic range of the ANSDM modulator is the product of the dynamic range both from sampling interval and step size adaptation. Due to the high complexity of the calculations, the ANSDMsoft program was developed to support computing. All computational works were carried out using the Maple environment. Maple allows to solve complex mathematical functions and display their results in a simple way. Most importantly, it supports the LambertW function, used in the computing of NSDM or ANSDM modulators parameters. Graphic illustrations of the NSDM and ANSDM modulator dynamic range as a function of the minimum and maximum sampling frequency are presented.
    Źródło:
    Science, Technology and Innovation; 2020, 10, 3; 1-7
    2544-9125
    Pojawia się w:
    Science, Technology and Innovation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improved Estimators of Coefficient of Variation in a Finite Population
    Autorzy:
    Archana, V.
    Aruna Rao, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/465691.pdf
    Data publikacji:
    2011
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Model based comparison
    Coefficient of Variation
    Simple Random Sampling Regression estimator
    Mean Square Error
    Confidence interval
    Opis:
    Coefficient of Variation (C.V) is a unitless measure of dispersion. Hence it is widely used in many scientific and social investigations. Although a lot of work has been done concerning C.V in the infinite population models, it has been neglected in the finite populations. Many areas of applications of C.V involves the finite populations like the use in official statistics and economic surveys of the World Bank. This has motivated us to propose six new estimators of the population C.V. In finite population studies regression estimators are widely used and the idea is exploited to propose the new estimators. Three of the proposed estimators are the regression estimators of the C.V for the study variable while the other three estimators makes use of the regression estimators of population mean and variance to estimate the ratio , the population C.V for the study variable. The bias and mean square error (MSE) of these estimators were derived for the simple random sampling design. The performance of these estimators is compared using two real life data sets. The simulation is carried out to compare the estimators in terms of coverage probability and the length of the confidence interval. The small sample comparison indicates that two of the proposed estimators perform better than the sample C.V. The regression estimator using the information on the Population C.V of the auxiliary variable emerges as the best estimator.
    Źródło:
    Statistics in Transition new series; 2011, 12, 2; 357-380
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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