Browsing by Subject "ANOVA"

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Access status: Open Access ,
Assessment of a long-term and short-term process capability in the approach of analysis of variance (ANOVA)
(2009) Czarski, Andrzej
One of the fundamental tasks of the Statistical Process Control (SPC) is the assessment of capability of a process relating to client's expectations. Relating to a client, all process capability indices are, first of all, information on technological potential of a process, so they can be a criterion respecting selection of a producer. Relating to a producer, the indices can be a proof for process improvement or an alarm signal regarding a process performance. In the industrial practice long-term and short-term capability indices are determined very often (marked adequately as Pp, Ppk and Cp, Cpk). This method enables a detailed analysis of the process performance relating to a variability. The point is, first of all, to identify a presence of a so-called variability dependent on time caused e.g. by changes in a lot of raw material, successive process settings, a service of different operators etc. In other words we are interested if a process position for the sake of an analyzed parameter undergoes statistically significant variations in time. The study is mainly of a methodological character. There is a deepened interpretation of indices of a long-term and short-term process capability based on a one-way analysis of variance (ANOVA) presented. The performed considerations are illustrated with a computational example based on data concerning heat treatment of drop forgings. The better, more complete understanding the method of the assessment of a long-term and short-term process capability should facilitate the Users a correct interpretation of results and enable to avoid mistakes connected with possible not meeting the method assumptions necessary for use.
Access status: Open Access ,
Influence of $Ho^{+}$ ions for quantitation of iron (Fe) in 0.1 M HCl solution using microwave plasma-atomic emission spectrometry (MP-AES)
(Wydawnictwa AGH, 2018) Stępień, Michał; Bukowska, Andżelika
During research work in the Non-Ferrous Metals Department on AGH University of Science and Technology concerning new corrosion inhibitors for iron alloys in magnetic fields, Ho?+ ions were proposed as one of the new inhibitors. One of the methods for determining the rate of the corrosion process is determining the concentration of Fe ions in a solution. Due to the required high precision of determining the concentration of Fe ions in a solution contains Ho?+ ions with a wide range of concentrations, the influence of the matrix effect and interferences of Ho?+ ions must be known. The present work investigates the impact of Ho ions within a range of 0 to 100 mg/L for the quantitation of Fe ions in a 0.1 M HCl solution using the MP-AES method. The obtained results were analyzed using the single-factor ANOVA method. In a range of up to 40 mg/L, Ho?+ ions are not a significant factor to determining the Fe concentration by MP-AES.
Access status: Restricted ,
Statystyczna analiza systemu pomiarowego wyznaczającego prędkość dźwięku w oleju według wymagań MSA.
(Data obrony: 2020-01-27) Matusz, Maciej
Wydział Inżynierii Mechanicznej i Robotyki
Access status: Restricted ,
Wykorzystanie analizy wariancji ANOVA w badaniach tribologicznych
(Data obrony: 2019-12-05) Sanicki, Bartosz
Wydział Inżynierii Metali i Informatyki Przemysłowej
Access status: Restricted ,
Wykorzystanie metod analizy statystycznej do oceny zależności pomiędzy parametrami mikrostruktury a własnościami tribologicznymi dla stali nadeutektoidalnej
(Data obrony: 2020-10-28) Rydzyńska, Marta
Wydział Inżynierii Metali i Informatyki Przemysłowej
Access status: Restricted ,
Wykorzystanie metod analizy wariancji w badaniach własności tribologicznych staliw stosowanych na walce hutnicze
(Data obrony: 2020-10-29) Starzak, Paweł
Wydział Inżynierii Metali i Informatyki Przemysłowej
Access status: Restricted ,
Wykorzystanie wielowymiarowych metod analizy statystycznej w badaniach tribologicznego zużycia stali na walce hutnicze
(Data obrony: 2019-07-12) Czernik, Adrianna
Wydział Inżynierii Metali i Informatyki Przemysłowej