Stochastic measurement of wind power using a two-bit A/D converter

Vujičić, Vladimir; Ličina, Boris; Pejic, Dragan; Sovilj, Platon; Radonjić, Aleksandar

doi:10.1016/j.measurement.2019.107184

Cited by 7 publications

(12 citation statements)

References 9 publications

(8 reference statements)

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“…Note that very accurate measurement of wind energy using two-bit SDMM is described in (Vujicic, V. et. al., 2020).…”

Section: Methodsmentioning

confidence: 99%

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Measurement of wind power and energy using an anemometer without moving parts

Vujičić¹,

Ličina²,

Sovilj³

et al. 2021

J Proc Ener Agri

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The paper deals with the application of a newly developed anemometer without moving parts. It is digitized and has built-in electronics that convert the vibrations of two aluminum fixed frames into two digital signals: one, which shows the strength (speed absolute value)) of the wind, and the other, which shows its direction. Both of these signals are used to calculate wind power and energy. Earlier works have shown that the two-bit stochastic digital measurement method overcomes (eliminates) the problem of the offset of the analog adder. The authors of this paper apply this idea to the digital output of the sensor, where the role of the offset of the analog adder is taken over by the integral nonlinearity of the digital output of the anemometer. The first step in this direction is digitally dithering the sensor output. This principle is presented in detail, as well as a rough estimate of the accuracy gain in measuring wind energy. The obtained result shows that the accuracy in measuring wind energy is not worse than the limit accuracy in the case of a cup anemometer that generates sinusoidal voltage.

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“…Note that very accurate measurement of wind energy using two-bit SDMM is described in (Vujicic, V. et. al., 2020).…”

Section: Methodsmentioning

confidence: 99%

“…In (Vujicic V. et. al., 2020) it was shown that an anemometer with cups can measure wind energy very accurately.…”

Section: Introductionmentioning

confidence: 99%

Measurement of wind power and energy using an anemometer without moving parts

Vujičić¹,

Ličina²,

Sovilj³

et al. 2021

J Proc Ener Agri

Self Cite

View full text Add to dashboard Cite

show abstract

“…Uz to bi bilo planirano da i uređaj sadrži odgovarajuć lek za pacijenta, da u slučaju mu se desi nešto neočekivano, i hitna pomoć ne bi stigla brzo, da taj lek uspe da pomogne osobi, i čak da mu spasi život. Osim toga, u planovima budućeg razvoja aplikacije, planira se njeno integrisanje sa istraživačkim sistemom za razvoj stohastičkog elektorkardiografaelektrokardiografa koji će primeniti koncepte iz ranije razvijenih metoda digitalnog stohastičkog merenja [7][8][9][10][11][12][13][14][15].…”

Section: Zaključakunclassified

Realizacija Aplikacije Elektrokardiografa Za Detekciju Srčanih Anomalija

Mrkaić¹

2021

Zbornik radova FTN

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“…This approach has its roots in the research of the reliable operating instruments with an inherent random error [23], and in the research of adding a random uniform dither to an A/D converter input [24], [25]. The evolution of these methods can be followed in [26]- [33]. The digital stochastic measurement of signal RMS (Root Mean Square) over interval was proposed in [26], [27] and further improved in [29].…”

mentioning

confidence: 99%

“…The digital stochastic measurement of a non-stationary signal over interval emphasizing an EEG signal measurement example was introduced in [31]. Finally, the latest achievements of the digital stochastic measurement methods over interval were described in [31]- [33].…”

mentioning

confidence: 99%

Measurement of Event-Related Brain Potentials (ERP) Amplitude and Latency Based on Digital Stochastic Measurement over Interval

Novakovic

Sovilj

Petrović

et al. 2020

ELEKTRON ELEKTROTECH

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In this paper, the measurement of event-related brain potentials (ERP) amplitude and latency based on digital stochastic measurement over interval (DSMI) method are described. Different variations of the measurement system are considered. It was found that measurement errors of amplitude increase with the reduction of the examination time. However, the measurement errors for ERP peak latency remain relatively small. This makes the system useful for practical implementations when the latency is the most interesting parameter and requirements for a short measurement time are of high priority.

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Stochastic measurement of wind power using a two-bit A/D converter

Cited by 7 publications

References 9 publications

Measurement of wind power and energy using an anemometer without moving parts

Measurement of wind power and energy using an anemometer without moving parts

Realizacija Aplikacije Elektrokardiografa Za Detekciju Srčanih Anomalija

Measurement of Event-Related Brain Potentials (ERP) Amplitude and Latency Based on Digital Stochastic Measurement over Interval

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