Uncertainty evaluation of multivariate quantities: A case study on electrical impedance

Ramos, Pedro M.; Janeiro, Fernando M.; Girão, Pedro Silva

doi:10.1016/j.measurement.2015.08.043

Cited by 16 publications

(11 citation statements)

References 20 publications

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“…This section assesses the state of the art regarding prototypes of power smart meters for households. Depending on the support platform, these prototypes can be classified as follows: (i) Arduino open-source platform [3,7,14,[43][44][45][46][47][48][49][50][51][52][53][54][55][56][57], (ii) field-programmable gate array (FPGA) technology [4,41], (iii) Lopy [5], and (iv) others [6,8,51,52].…”

Section: Research On Power Smart Meter Prototypes For Householdsmentioning

confidence: 99%

“…Concerning the evaluation of uncertainty, Reference [57] compared three methods to assess uncertainty in impedance monitoring. Moreover, Reference [58] applied a method to evaluate the uncertainty of data aggregation for root mean square (R.M.S) voltage [59].…”

Section: Research On Power Smart Meter Prototypes For Householdsmentioning

confidence: 99%

“…Most of the meter prototypes measured DC variables, with the exception of the AC prototypes in References [4][5][6]8,43,47,57].…”

mentioning

confidence: 99%

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Development and Calibration of an Open Source, Low-Cost Power Smart Meter Prototype for PV Household-Prosumers

et al. 2019

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Smart meter roll-out in photovoltaic (PV) household-prosumers provides easy access to granular meter measurements, which enables advanced energy services. The design of these services is based on the training and validation of models. However, this requires temporal high-resolution data for generation/load profiles collected in real-world household facilities. For this purpose, this research developed and successfully calibrated a new prototype for an accurate low-cost On-time Single-Phase Power Smart Meter (OSPPSM), which corresponded to these profiles. This OSPPSM is based on the Arduino open-source electronic platform. Not only can it locally store information, but can also wirelessly send these data to cloud storage in real-time. This paper describes the hardware and software design and its implementation. The experimental results are presented and discussed. The OSPPSM demonstrated that it was capable of in situ real-time processing. Moreover, the OSPPSM was able to meet all of the calibration standard tests in terms of accuracy class 1 (measurement error ≤1%) included in the International Electrotechnical Commission (IEC) standards for smart meters. In addition, the evaluation of the uncertainty of electrical variables is provided within the context of the law of propagation of uncertainty. The approximate cost of the prototype was 60 € from eBay stores.

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Section: Research On Power Smart Meter Prototypes For Householdsmentioning

confidence: 99%

Section: Research On Power Smart Meter Prototypes For Householdsmentioning

confidence: 99%

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Development and Calibration of an Open Source, Low-Cost Power Smart Meter Prototype for PV Household-Prosumers

et al. 2019

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“…According to the uniform distribution and k = 3 , B type standard sample uncertainty U( B1 ) was in the following formulas. (6) In the formula, U (B1) and U rel(B1) stood for the uncertainty of standard sample and the relative uncertainty of standard sample .…”

Section: Evaluation Of Uncertainty Of Type Standard Samplementioning

confidence: 99%

“…Evaluation and Expression of Uncertainty [1] , uncertainty was an important data for the quality assessment of the determination result and was used for evaluated standard. With the promotion of the laboratory accreditation, evaluation of uncertainty measurement was attracting a great deal of attention [2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the uncertainty of determination cadmium in aluminum copper alloy by photoelectric spectrometry

Dai¹,

Tian²,

Zou³

et al. 2017

AIP Conference Proceedings

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Abstract. According to JJF 1059.1-2012 of Evaluation and Expression of Uncertainty, uncertainty evaluation of measurement cadmium in copper aluminum alloy had proposed by photoelectric spectrometry. The sources of the measurement uncertainty were analyzed in the process of analysis and the corresponding mathematical model was established. The uncertainty of standard of A and B, the synthetic standard uncertainty, the expansion uncertainty and confidence interval of determined results were determined. The uncertainty of the B standard was the main source of uncertainty in the spectral analysis between uncertainty of class A and B, and the uncertainty of the sample properties was much larger than the uncertainty of other factors. The established method had certain model significance on the uncertainty evaluation of other substances measurement by spectroscopic method.

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Estimation of Uncertainties of Multivariable Indirect Measurements of Two DC Electrical Circuits

Warsza

Puchalski

2019

Advances in Intelligent Systems and Computing

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Uncertainty evaluation of multivariate quantities: A case study on electrical impedance

Cited by 16 publications

References 20 publications

Development and Calibration of an Open Source, Low-Cost Power Smart Meter Prototype for PV Household-Prosumers

Development and Calibration of an Open Source, Low-Cost Power Smart Meter Prototype for PV Household-Prosumers

Evaluation of the uncertainty of determination cadmium in aluminum copper alloy by photoelectric spectrometry

Estimation of Uncertainties of Multivariable Indirect Measurements of Two DC Electrical Circuits

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