Calibration Process Quantity Reduction of the Thermal Voltage Converter Standard using a Three-stage Build-up and Build-down Method

Abstract

Currently, three single junction-type Thermal Voltage Converter (TVC) standard units represent the highest standard of AC (Alternating Current) voltages owned by the Electrical Metrology Laboratory, Research Centre for Metrology-Indonesian Institute of Sciences. The accuracy of the single junction-type TVC is maintained regularly via intercomparison processes using a one-step build-up and build-down method. To reduce the calibration process quantity, three steps of build-up and build-down measurements that refer to the 4 V measurement point of a HOLT production single junction-type TVC were carried out. The dissemination processes with the best measurement accuracy up to 20 ppm were successfully obtained from measurement points between 1 V and 20 V via 4-1V, 4-2V, 4-3V, 4-6V, 4-10V, and 4-20V formations.

Pengembangan Sistem Pengukuran Otomatis Untuk Thermal Voltage Converter Berbasis Visual Basic Pada Ketelitian Di Bawah 2 Μv

“…Tabel 2. Hasil analisis data pengukuran BD TVC Ballantine tipe elemen pada titik ukur 1 V dengan metode 2 langkah (Sardjono, H., Wijonarko, S., 2018) No AC1(mV) DC+(mV) AC2(mV) DC-(mV) AC-DC (mV) -103 Stabilitas UUT µV/V Segi-4 u 8 (x) 1,3 1,7  0,8 1 0,8 0,6 3,2E -100 Penjumlahan 8.9 1,0 Ketidakpastian Gabungan, U C 3,0 Derajat Kebebasan Efektif,  eff 81,2 Faktor Cakupan 95%, CL 2,0 Ketidakpastian Lanjut, U 95 5,9 µV/V…”

Comparison of Different Methods to Evaluate Measurement Uncertainty in Bimetallic Thermometers Used in Industrial Equipment

“…Among the methods, the ISO GUM Supplement 1, known as the Monte Carlo method (JCGM, 2008), the Kragten method, and applications of Bayesian statistics, among others, stand out. The literature presents various works where the potential of the GUM, Monte Carlo, and Kragten methods have been compared Zarate et al (2022), Aro et al (2021), Khan and Ibrayeva (2020), Cremona et al (2018), Sardjono and Wijonarko (2018), Horsky, Irrgeher, and Prohaska (2016), Guerrasio et al (2013), Theodorou, Zannikou, and Zannikos (2012), resulting in a robust Monte Carlo and, additionally, similar results between the GUM and Kragten methods. However, in thermal metrology applied to the industrial sector, the literature does not show a direct comparison between the GUM and Kragten methods.…”