Accuracy limit of high-precision stochastic watt-hour meter

Pejic, Dragan; Vujičić, Vladimir

doi:10.1109/19.850404

Cited by 33 publications

(15 citation statements)

References 5 publications

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“…Similarly to instruments for measuring true RMS value [5][6][7], the average noise power is obtained as:…”

Section: Instrument Output For Infinite Number Of Samplesmentioning

confidence: 99%

“…The measurement uncertainty is estimated using the applied theory of discrete signals and systems, underpinned by algebraic calculations [3]. An alternative strategy, the "stochastic measurement over an interval" [4], has been researched in three challenging areas: measurements that require high accuracy and linearity [5][6][7], measurement of fast-changing signals and noisy signals [8,9]. Numerous simulations, prototype instruments and experiments have proven the metrological applicability of the stochastic approach [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…the true RMS value of signals [4][5][6][7]. Hence it is capable of answering the first question with much simpler hardware and lower energy consumption with respect to the standard approach solutions.…”

Section: Introductionmentioning

confidence: 99%

“…Such structure was used to measure the power or RMS of deterministic signals [4][5][6][7], but here it is utilized to measure the total (integral) noise power in the initial (first) phase. It enables a straightforward determination whether it is necessary to start the complex measurement processes of the identification (second) phase.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic measurement of noise true RMS using two-bit flash A/D converters

Sovilj

Vujičić

Sokola³

et al. 2017

Teh. vjesn.

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Original scientific paper The paper presents an application of the stochastic measurement approach for true RMS and power of noise. The instrument structure is based on two 2-bit flash analog-to-digital (A/D) converters whose inputs are the dithered noise, and on accumulation of the product of the converters' outputs. New theoretical expressions for predicting measurement result and measurement uncertainty, with inclusion of input signal's stochastic nature, are derived. Extensive simulations and experiments prove the validity of the proposed method and its low measurement uncertainty, even at a relatively low sampling rate. These indicate that, beside general applications for noise measurements, the instrument is suitable for chemical and biological substances detection that utilizes graphene sensors. Keywords: digital measurements; measurement uncertainty; noise measurement; stochastic processes Stohastičko mjerenje efektivne vrijednosti šuma dvo-bitnim flash A/D konvertorimaIzvorni znanstveni članak U ovom radu je predstavljena primjena pristupa stohastičkog mjerenja u mjerenju efektivne vrijednosti i snage šuma. Struktura instrumenta je zasnovana na dva dvo-bitna flash analogno-digitalna (A/D) konvertora, na čije ulaze se dovodi diterovani šum, i na akumulaciji proizvoda konvertorskih izlaza. Izvedeni su novi teorijski izrazi za predviđanje rezultata mjerenja i mjerne nesigurnosti, koji uključuju stohastičku prirodu ulaznih signala. Ekstenzivne simulacije i eksperimenti dokazuju validnost predložene metode i njenu nisku mjernu nesigurnost, čak i pri relativno niskoj frekvenciji uzorkovanja. Ovo ukazuje da je prikazani instrument, osim za opću primjenu u mjerenju šuma, pogodan i za detekciju kemijskih i bioloških tvari, zasnovanu na upotrebi grafenskih senzora.

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“…Similarly to instruments for measuring true RMS value [5][6][7], the average noise power is obtained as:…”

Section: Instrument Output For Infinite Number Of Samplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stochastic measurement of noise true RMS using two-bit flash A/D converters

Sovilj

Vujičić

Sokola³

et al. 2017

Teh. vjesn.

View full text Add to dashboard Cite

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“…Various methods are available for signal power and energy measurement, each with its benefits and drawbacks. We focus on a stochastic converter application in watt-hour meters [1]. The precision of stochastic converter depends on sampling frequency and duration of measurement [2].…”

Section: Introductionmentioning

confidence: 99%

Comparator offset error suppression in stochastic converters used in a watt-hour meter

et al. 2010

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The paper presents a method of suppressing offset induced error in comparators used in stochastic converters. A stochastic converter has two analog voltage inputs, and the output is proportional to the integral of input product. This converter is used to build a precision watt-hour meter prototype at University of Novi Sad. A stochastic method uses a high oversampling frequency and fast, off-the-shelf commercial comparators. These comparators have relatively large offset, but we show that it does not affect the quality of measurement. Mathematical theory, simulation and testing results are presented. The results show offset error reduction up to three orders of magnitude.

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