Parameter Sensitivity and Measurement Uncertainty Propagation in Torque-Estimation Algorithms for Induction Machines

Purpose This paper aims to study the influence of supply voltage variations on the external magnetic field emitted by grid-powered induction machines (IMs). Design/methodology/approach Two models are developed in the paper to analyse, for different supply voltage values, the influence of the variations of the magnetizing voltage for which there is a link with the tangential component of the external flux. The first is an analytical model based on the IM single-phase-equivalent circuit with variable magnetizing reactance to take into account the saturation of the magnetic circuit. The second is a numerical finite element simulation to model the same phenomenon. Results of both models are analysed with experimental measures of the external flux. Findings The study shows that the amplitude of the external field strongly depends on supply voltage values. Research limitations/implications The investigation is mainly focused on the tangential component of the external magnetic field which is of high importance concerning the applicability of non-invasive methods of diagnosis, as electromagnetic torque estimation developed by the authors or internal fault determination. Originality/value The originality of the paper concerns the characterization of the external flux with the supply voltage for IMs. It is shown that the magnetic circuit radiates external flux differently with the load and with the supply voltage.

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Measurement uncertainty distributions and uncertainty propagation by the simulation approach

Accreditation and Quality Assurance ◽

10.1007/s007690000235 ◽

2001 ◽

Vol 6 (8) ◽

pp. 352-359 ◽

Cited By ~ 2

Author(s):

P. Tarapčík ◽

Ján Labuda ◽

Blandine Fourest ◽

Viliam Pätoprstý

Keyword(s):

Measurement Uncertainty ◽

Uncertainty Propagation ◽

Simulation Approach

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Evaluating uncertainty of some radiation measurand using Monte Carlo method

Nuclear Science and Technology ◽

10.53747/jnst.v9i4.135 ◽

2021 ◽

Vol 9 (4) ◽

pp. 34-40

Author(s):

Duc Ky Bui ◽

Ngoc Quynh Nguyen ◽

Duc Thang Duong ◽

Ngoc Thiem Le ◽

Quang Tuan Ho ◽

...

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Ionizing Radiation ◽

Measurement Uncertainty ◽

Physical Quantity ◽

Uncertainty Propagation ◽

Dose Equivalent ◽

Air Kerma ◽

Mandatory Requirement ◽

Radiation Measurements

Evaluating measurement uncertainty of a physical quantity is a mandatory requirement for laboratories within the recognition ISO/IEC 17025 certification to access reliability of measured results. In this work, the uncertainty of ionizing radiation measurements such as air-kerma, personal dose equivalent Hp(d) was evaluated based on GUM method and Monte Carlo method. An uncertainty propagation software has been developed for evaluation of the measurement uncertainty more convenient.

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Influence of Measurement Uncertainty Propagation in Current-channel-selectable Multi Objective Optimal Phasor Measurement Unit Placement Problem

2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) ◽

10.1109/gtdasia.2019.8715873 ◽

2019 ◽

Author(s):

Y. Matsukawa ◽

M. Watanabe ◽

Y. Mitani ◽

M. L. Othman

Keyword(s):

Measurement Uncertainty ◽

Uncertainty Propagation ◽

Phasor Measurement Unit ◽

Measurement Unit ◽

Placement Problem ◽

Current Channel ◽

Multi Objective ◽

Phasor Measurement

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Measurement Uncertainty Propagation through Basic Photovoltaic Cell Models

Energies ◽

10.3390/en12061029 ◽

2019 ◽

Vol 12 (6) ◽

pp. 1029 ◽

Cited By ~ 2

Author(s):

Ivan Tolić ◽

Mario Primorac ◽

Kruno Miličević

Keyword(s):

Measurement Uncertainty ◽

Fill Factor ◽

Short Circuit ◽

Renewable Energy Sources ◽

Uncertainty Propagation ◽

Short Circuit Current ◽

Photovoltaic Cell ◽

Open Circuit ◽

Cell Models ◽

Global Irradiance

This paper presents measurement uncertainty propagation through four basic photovoltaic cell models: One-diode model without resistances, with one resistance and with two resistances and two-diode model with two resistances. The expressions for the output current of all photovoltaic cell models is presented as a function of global irradiance G and temperature T. Next, the expressions for all fill factor parameters: short-circuit current, open-circuit voltage, current and voltage at the maximum power point, depending on the global irradiance G and temperature T are derived as well. For each parameter, Monte Carlo simulations to calculate the measurement uncertainty of the parameter are performed and the results were used as input values for the calculation of measurement uncertainty of fill factor. Practical calculations are performed in laboratory for renewable energy sources located on 45°32′ N and 18°44′ E. Final fill factor calculations are compared for three different module technologies.

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