TY  - JOUR
AU  - Urekar, Marjan
AU  - Pejić, Dragan
AU  - Vujičić, Vladimir
AU  - Avramov Zamurović, Svetlana
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/2353
AB  - The paper describes the problem and a solution for the elimination of the systematic error in a stochastic flash ADC caused by the offset present in fast voltage comparators, when measuring voltage RMS and active power and energy using the stochastic digital measurement method. By the means of simple periodical cross-switching of inverting and non-inverting inputs of used comparators and inverting their digital outputs, it is possible to suppress offset induced error for over 80 dB. Main condition for the method is that input signals (one for voltage RMS measurement, two for power and energy measurements) are stationary during at least two (or even number) of signal cycles. A prototype of a stochastic energy meter was built. It has the offset suppression method implemented, based on the solution proposed in the paper. The prototype was used for measurements in a laboratory, in an industrial plant and on a large power load. The measurement results confirm high accuracy of the instrument and validity of its aforementioned condition. The stochastic digital electrical energy meter prototype has 0.13% accuracy while the stochastic measurement instrument in its core has 0.007% accuracy. High precision and high accuracy of the stochastic instrument enables it to be used as a reference meter for calibration of energy meters at the national level. Full measurement results are presented.
PB  - Elsevier
T2  - Measurement
T1  - Accuracy improvement of the stochastic digital electrical energy meter
SP  - 139
EP  - 150
VL  - 98
DO  - 10.1016/j.measurement.2016.11.038
UR  - https://hdl.handle.net/21.15107/rcub_dais_2353
ER  - 

@article{
author = "Urekar, Marjan and Pejić, Dragan and Vujičić, Vladimir and Avramov Zamurović, Svetlana",
year = "2017",
abstract = "The paper describes the problem and a solution for the elimination of the systematic error in a stochastic flash ADC caused by the offset present in fast voltage comparators, when measuring voltage RMS and active power and energy using the stochastic digital measurement method. By the means of simple periodical cross-switching of inverting and non-inverting inputs of used comparators and inverting their digital outputs, it is possible to suppress offset induced error for over 80 dB. Main condition for the method is that input signals (one for voltage RMS measurement, two for power and energy measurements) are stationary during at least two (or even number) of signal cycles. A prototype of a stochastic energy meter was built. It has the offset suppression method implemented, based on the solution proposed in the paper. The prototype was used for measurements in a laboratory, in an industrial plant and on a large power load. The measurement results confirm high accuracy of the instrument and validity of its aforementioned condition. The stochastic digital electrical energy meter prototype has 0.13% accuracy while the stochastic measurement instrument in its core has 0.007% accuracy. High precision and high accuracy of the stochastic instrument enables it to be used as a reference meter for calibration of energy meters at the national level. Full measurement results are presented.",
publisher = "Elsevier",
journal = "Measurement",
title = "Accuracy improvement of the stochastic digital electrical energy meter",
pages = "139-150",
volume = "98",
doi = "10.1016/j.measurement.2016.11.038",
url = "https://hdl.handle.net/21.15107/rcub_dais_2353"
}

Urekar, M., Pejić, D., Vujičić, V.,& Avramov Zamurović, S.. (2017). Accuracy improvement of the stochastic digital electrical energy meter. in Measurement
Elsevier., 98, 139-150.
https://doi.org/10.1016/j.measurement.2016.11.038
https://hdl.handle.net/21.15107/rcub_dais_2353

Urekar M, Pejić D, Vujičić V, Avramov Zamurović S. Accuracy improvement of the stochastic digital electrical energy meter. in Measurement. 2017;98:139-150.
doi:10.1016/j.measurement.2016.11.038
https://hdl.handle.net/21.15107/rcub_dais_2353 .

Urekar, Marjan, Pejić, Dragan, Vujičić, Vladimir, Avramov Zamurović, Svetlana, "Accuracy improvement of the stochastic digital electrical energy meter" in Measurement, 98 (2017):139-150,
https://doi.org/10.1016/j.measurement.2016.11.038 .,
https://hdl.handle.net/21.15107/rcub_dais_2353 .

TY  - CONF
AU  - Urekar, Marjan
AU  - Vujičić, Vladimir
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/3686
AB  - The paper describes the High Precision Stochastic Digital Measurement Method that takes the advantage of fast electronic components in order to simplify and cut the costs of hardware used for electric energy measurements, whereas reducing the number of error sources in instruments. It is shown that the key element in this system is the fast Flash ADC. For every new bit of Flash ADC resolution, its hardware is consequently doubled in complexity, as the standard price for that additional new bit of resolution. A definition and a solution for the fundamental problem of optimal (maximum) increase of Stochastic Flash ADC precision and equivalent technology speed at the standard price of hardware doubling are given. Resolution increase from two to three bits is found to be optimal, giving the precision increase of three times and the speed increase of nine times, compared to the two-bit version. All other cases give precision increase of around two times and 5-6 times increase of the equivalent technology speed.
PB  - IEEE
C3  - IEEE EUROCON 2017 -17th International Conference on Smart Technologies
T1  - Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method
SP  - 832
EP  - 837
DO  - 10.1109/EUROCON.2017.8011228
UR  - https://hdl.handle.net/21.15107/rcub_dais_3686
ER  - 

@conference{
author = "Urekar, Marjan and Vujičić, Vladimir",
year = "2017",
abstract = "The paper describes the High Precision Stochastic Digital Measurement Method that takes the advantage of fast electronic components in order to simplify and cut the costs of hardware used for electric energy measurements, whereas reducing the number of error sources in instruments. It is shown that the key element in this system is the fast Flash ADC. For every new bit of Flash ADC resolution, its hardware is consequently doubled in complexity, as the standard price for that additional new bit of resolution. A definition and a solution for the fundamental problem of optimal (maximum) increase of Stochastic Flash ADC precision and equivalent technology speed at the standard price of hardware doubling are given. Resolution increase from two to three bits is found to be optimal, giving the precision increase of three times and the speed increase of nine times, compared to the two-bit version. All other cases give precision increase of around two times and 5-6 times increase of the equivalent technology speed.",
publisher = "IEEE",
journal = "IEEE EUROCON 2017 -17th International Conference on Smart Technologies",
title = "Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method",
pages = "832-837",
doi = "10.1109/EUROCON.2017.8011228",
url = "https://hdl.handle.net/21.15107/rcub_dais_3686"
}

Urekar, M.,& Vujičić, V.. (2017). Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method. in IEEE EUROCON 2017 -17th International Conference on Smart Technologies
IEEE., 832-837.
https://doi.org/10.1109/EUROCON.2017.8011228
https://hdl.handle.net/21.15107/rcub_dais_3686

Urekar M, Vujičić V. Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method. in IEEE EUROCON 2017 -17th International Conference on Smart Technologies. 2017;:832-837.
doi:10.1109/EUROCON.2017.8011228
https://hdl.handle.net/21.15107/rcub_dais_3686 .

Urekar, Marjan, Vujičić, Vladimir, "Optimal resolution of a Flash ADC for the high precision electrical energy stochastic digital measurement method" in IEEE EUROCON 2017 -17th International Conference on Smart Technologies (2017):832-837,
https://doi.org/10.1109/EUROCON.2017.8011228 .,
https://hdl.handle.net/21.15107/rcub_dais_3686 .