VALIDATION OF THE REALISED MEASUREMENT UNCERTAINTY IN PROCESS OF PRECISE LINE SCALES CALIBRATION

The Laboratory for Precise Measurement of Length, which is at the same time the Croatian National Laboratory for Length (in text Laboratory) takes part in CIPM MRA (Comite International des Poids et Mesures, Mutual Recognition Arrangement) comparisons of length standards, which include line scales a...

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Veröffentlicht in:Tehnički vjesnik 2012-06, Vol.19 (2), p.333-339
Hauptverfasser: Medic, S, Kondic, Z, Runje, B
Format: Artikel
Sprache:eng
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Zusammenfassung:The Laboratory for Precise Measurement of Length, which is at the same time the Croatian National Laboratory for Length (in text Laboratory) takes part in CIPM MRA (Comite International des Poids et Mesures, Mutual Recognition Arrangement) comparisons of length standards, which include line scales as very important standards of length. When the results reported in the comparisons, it is necessary to state the estimated measurement uncertainty. Recently, the Monte Carlo simulations (MCS) have been increasingly applied in the field of estimation measurement uncertainties. The paper presents validation of die realised measurement uncertainty by GUM method in process of precise line scales calibration using the MCS method. The MCS method is based on random number generation from the probability density functions for each input value and forming of experimental probability density function of the output value. Also, the paper presents obtained results of the international comparison measurement which representing a real validation of the device and evaluated measurement uncertainty.Original Abstract: Laboratory za precizna mjerenja duzina koji je ujedno i Nacionalni laboratory za duljinu sudjeluje (Laboratory) CIPM MRA (Comite International des Poids et Mesures, Mutual Recognition Arrangement) kljucnim usporedbama etalona duljine medu kojima su od posebnog znacaja i precizne mjerne skale. U usporedbenim mjerenjima pri iskazivanju rezultata mjerenja, neophodno je dati i procjenu mjerne nesigumosti. U novije vrijeme, Monte Carlo simulacije (MCS) imaju sve vecu primjenu u procjeni mjernih nesigumosti. U radu se prezentira validacija realizirane mjerne nesigumosti GUM metodom upotrebom MCS metode. MCS metoda temelji se na generiranju slucajnih brojeva iz funkcija gustoce Vjerojatnosti za svaku ulaznu velicinu i stvaranju eksperimentalne funkcije gustoce vjerojatnosti izlazne velicine kombinirajuci razlicite razdiobe kojima su definirane ulazne velicine. Isto tako, u radu se prezentiraju rezultati medunarodnog usporedbenog mjerenjakoji predstavljaju stvarnu validaciju mjemog uredaja i procijenjene mjerne nesigumosti.
ISSN:1330-3651