Development of -1 MV DC Filter and High-Voltage DC Measurement Systems for ITER NBI

2018 ◽  
Vol 204 (3) ◽  
pp. 41-52 ◽  
Author(s):  
AKESHI TAKAHASHI ◽  
TOSHIAKI TANAKA ◽  
HIROYUKI FUJITA ◽  
YUKI HIRANUMA ◽  
SATOSHI ICHIMURA ◽  
...  
Keyword(s):  
High Voltage ◽  
Measurement Systems

Measurement Systems for High Voltage Transients in Power Networks

2021 ◽  
Author(s):  
Rogelio Sandler ◽  
Marcelo Brehm ◽  
Daniel Slomovitz ◽  
Alejandro Santos ◽  
Gonzalo Aristoy ◽  
...  
Keyword(s):  
High Voltage ◽  
Power Networks ◽  
Measurement Systems ◽  
Voltage Transients

scholarly journals Influence of sensitivity and specifity of measuring methods on their informativity and hardware requirements

2019 ◽  
Vol 124 ◽  
pp. 05043
Author(s):  
N.K. Andreev
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
High Voltage ◽  
Optical Control ◽  
Resonance Imaging ◽  
Smart System ◽  
Measurement Systems ◽  
Physical Chemical ◽  
Magnetic Resonance Imaging Mri ◽  
Acoustic Inspection

This paper is devoted to discussion how the sensitivity and specificity of a physical quantity under measurement to other physical, chemical and biologic features influence the information volume circulating in a smart system that, i.e. to the degree of smartness. Measurement systems in the fields of magnetic resonance imaging (MRI), acoustic inspection and optical control of high voltage insulators are discussed in connection with the devices development. It is considered how the addition of new measuring channels in optics, acoustics and MRI influences the images‘ quality and how it affects data processing and hardware requirements.

scholarly journals Calibration of On-Board Energy Measurement Systems Installed in Locomotives for AC Distorted Current and High Voltage Waveforms and Determination of Its Uncertainty Budget

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7967
Author(s):  
Abderrahim Khamlichi ◽  
Fernando Garnacho ◽  
Pascual Simon ◽  
Jorge Rovira ◽  
Angel Ramirez
Keyword(s):  
High Voltage ◽  
Uncertainty Budget ◽  
Power Source ◽  
Active Power ◽  
Energy Measurement ◽  
Reference Measuring ◽  
Measurement Systems ◽  
Council Directive ◽  
Rail Systems ◽  
Set Up

Periodic calibrations of Energy Measurement Systems (EMS) installed in locomotives must be carried out to demonstrate the required accuracy established in the EN 50463-2 standard according to European Parliament and Council Directive 2008/57/EC on the interoperability of rail systems within the Community. As a result of the work performed in the “MyRailS” EURAMET project an AC calibration facility was developed consisting of a fictive power source was developed. This fictive power source can generate distorted sinusoidal voltages up to 25 kV-50 Hz and 15 kV-16.7 Hz as well as distorted sinusoidal currents up to 500 A with harmonic content up to 5 kHz or phase-fired current waveform stated in EN50463-2 standard. These waveforms are representative of those that appear during periods of acceleration and breaking of the train. Reference measuring systems have been designed and built consisting of high voltage and high current transducers adapted to multimeters, which function as digital recorders to acquire synchronized voltage and current signals. An approved procedure has been developed and an in-depth uncertainty analysis has been performed to achieve a set of uncertainty formulas considering the influence parameters. Different influence parameters have been analyzed to evaluate uncertainty contributions for each quantity to be measured: rms voltage, rms current, active power, apparent power and non-active power of distorted voltage and current waveforms. The resulting calculated global expanded uncertainty for the developed Energy Measuring Function calibration set up has been better than 0.5% for distorted waveforms. This paper is focused on presenting the complete set of expressions and formulas developed for the different influence parameters, necessary for uncertainty budget calculation of an Energy Measuring Function calibration.

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