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Wyszukujesz frazę "Perzyk, M. A." wg kryterium: Wszystkie pola

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    Wyświetlanie 1-3 z 3
    Tytuł:
    Application of Special Cause Control Charts to Green Sand Process
    Autorzy:
    Perzyk, M.
    Rodziewicz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/381885.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    quality management
    information technology
    foundry industry
    statistical process control
    time series analysis
    control charts
    zarządzanie jakością
    technologia informatyczna
    przemysł odlewniczy
    statystyczne sterowanie procesem
    analiza szeregów czasowych
    karta kontrolna
    Opis:
    Statistical Process Control (SPC) based on the well known Shewhart control charts, is widely used in contemporary manufacturing industry, including many foundries. However, the classic SPC methods require that the measured quantities, e.g. process or product parameters, are not auto-correlated, i.e. their current values do not depend on the preceding ones. For the processes which do not obey this assumption the Special Cause Control (SCC) charts were proposed, utilizing the residual data obtained from the time-series analysis. In the present paper the results of application of SCC charts to a green sand processing system are presented. The tests, made on real industrial data collected in a big iron foundry, were aimed at the comparison of occurrences of out-of-control signals detected in the original data with those appeared in the residual data. It was found that application of the SCC charts reduces numbers of the signals in almost all cases It is concluded that it can be helpful in avoiding false signals, i.e. resulting from predictable factors.
    Źródło:
    Archives of Foundry Engineering; 2015, 15, 4; 55-60
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of time-series analysis in control of chemical composition of grey cast iron
    Autorzy:
    Perzyk, M.
    Rodziewicz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/380404.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    technologia informatyczna
    przemysł odlewniczy
    zarządzanie jakością
    analiza szeregów czasowych
    proces topienia
    żeliwo szare
    information technology
    foundry industry
    quality management
    time series analysis
    melting process
    grey cast iron
    Opis:
    The aim of the paper was an attempt at applying the time-series analysis to the control of the melting process of grey cast iron in production conditions. The production data were collected in one of Polish foundries in the form of spectrometer printouts. The quality of the alloy was controlled by its chemical composition in about 0.5 hour time intervals. The procedure of preparation of the industrial data is presented, including OCR-based method of transformation to the electronic numerical format as well as generation of records related to particular weekdays. The computations for time-series analysis were made using the author's own software having a wide range of capabilities, including detection of important periodicity in data as well as regression modeling of the residual data, i.e. the values obtained after subtraction of general trend, trend of variability amplitude and the periodical component. The most interesting results of the analysis include: significant 2-measurements periodicity of percentages of all components, significance 7-day periodicity of silicon content measured at the end of a day and the relatively good prediction accuracy obtained without modeling of residual data for various types of expected values. Some practical conclusions have been formulated, related to possible improvements in the melting process control procedures as well as more general tips concerning applications of time-series analysis in foundry production.
    Źródło:
    Archives of Foundry Engineering; 2012, 12, 4; 171-175
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of Time-Series Analysis for Predicting Defects in Continuous Steel Casting Process
    Autorzy:
    Rodziewicz, A.
    Perzyk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/380643.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    information technology
    foundry industry
    quality management
    continuous steel casting
    time series analysis
    naïve Bayesian classifier
    technologia informatyczna
    przemysł odlewniczy
    zarządzanie jakością
    ciągłe odlewanie stali
    analiza szeregów czasowych
    naiwny klasyfikator Bayesa
    Opis:
    The purpose of this paper was testing suitability of the time-series analysis for quality control of the continuous steel casting process in production conditions. The analysis was carried out on industrial data collected in one of Polish steel plants. The production data concerned defective fractions of billets obtained in the process. The procedure of the industrial data preparation is presented. The computations for the time-series analysis were carried out in two ways, both using the authors’ own software. The first one, applied to the real numbers type of the data has a wide range of capabilities, including not only prediction of the future values but also detection of important periodicity in data. In the second approach the data were assumed in a binary (categorical) form, i.e. the every heat(melt) was labeled as ‘Good’ or ‘Defective’. The naïve Bayesian classifier was used for predicting the successive values. The most interesting results of the analysis include good prediction accuracies obtained by both methodologies, the crucial influence of the last preceding point on the predicted result for the real data time-series analysis as well as obtaining an information about the type of misclassification for binary data. The possibility of prediction of the future values can be used by engineering or operational staff with an expert knowledge to decrease fraction of defective products by taking appropriate action when the forthcoming period is identified as critical.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 4; 125-130
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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