High-precision AC measurements using the Monte Carlo method

被引：18
|
作者：
Germer, H [1 ]
机构：
[1] Univ APpl Sci, D-26389 Wilhelmshaven, Germany
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2001年 / 50卷 / 02期
关键词：
electric variables measurement; power measurement; reactive power; Monte Carlo methods; measurement errors;
D O I：
10.1109/19.918165
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper describes a novel method for fast and high precision true RMS measurements of arbitrarily shaped electrical signals, The method, which is based on the Monte Carlo method, avoids the application of any nonlinear function to the signal under test and allows extremely high sampling rates. An experimental realization of the method for determining the RMS voltage of a waveform has been tested at the Physikalisch Technische Bundesanstalt (PTB), and for frequencies between 30 Hz and 70 kHz the results were found to be in agreement with the settings of the PTB ac standard to,within +/-0.01% of full scale. High accuracy and fast measurements of other characteristic ac values as well as real and reactive power are achievable with the same principle.
引用
收藏
页码：457 / 460
页数：4
相关论文
共 50 条
  • [21] Optimization of Operation Parameters in a Cesium Atomic Fountain Clock Using Monte Carlo Method
    Li, Hui
    Du, Yuanbo
    Yang, Xian
    Guo, Yunyi
    Liu, Mingming
    Li, Wenbing
    Liu, Hongli
    Lu, Zehuang
    IEEE ACCESS, 2021, 9 : 132140 - 132149
  • [22] Generating Empirical Core Size Distributions of Hedonic Games Using a Monte Carlo Method
    Collins, Andrew J.
    Etemadidavan, Sheida
    Khallouli, Wael
    INTERNATIONAL GAME THEORY REVIEW, 2022, 24 (03)
  • [23] Catching Flying Ball with Drone Using Monte Carlo Model Predictive Control method
    Zhu, Liuyi
    Date, Hisashi
    IFAC PAPERSONLINE, 2024, 58 (18): : 329 - 334
  • [24] Simulation Study of Reactor Protection System Periodic Test Using Monte Carlo Method
    Li, Duo
    Zhou, Shuqiao
    Guo, Chao
    Wei, Wenbin
    2019 4TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS 2019), 2019, : 171 - 174
  • [25] Multilevel Monte Carlo FDTD Method for Uncertainty Quantification
    Zhu, Xiaojie
    Di Rienzo, Luca
    Ma, Xikui
    Codecasa, Lorenzo
    IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2022, 21 (10): : 2030 - 2034
  • [26] Modelling of PMU Uncertainty by Means of Monte Carlo Method
    Sira, Martin
    Maslan, Stanislav
    Zachovalova, Vera Novakova
    Crotti, Gabriella
    Giordano, Domenico
    2016 CONFERENCE ON PRECISION ELECTROMAGNETIC MEASUREMENTS (CPEM 2016), 2016,
  • [27] First-passage kinetic Monte Carlo method
    Oppelstrup, Tomas
    Bulatov, Vasily V.
    Donev, Aleksandar
    Kalos, Malvin H.
    Gilmer, George H.
    Sadigh, Babak
    PHYSICAL REVIEW E, 2009, 80 (06):
  • [28] Perturbation Monte Carlo Method for Quantitative Photoacoustic Tomography
    Leino, Aleksi A.
    Lunttila, Tuomas
    Mozumder, Meghdoot
    Pulkkinen, Aki
    Tarvainen, Tanja
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 39 (10) : 2985 - 2995
  • [29] THE MOMENT GUIDED MONTE CARLO METHOD FOR THE BOLTZMANN EQUATION
    Dimarco, Giacomo
    KINETIC AND RELATED MODELS, 2013, 6 (02) : 291 - 315
  • [30] A separable shadow Hamiltonian hybrid Monte Carlo method
    Sweet, Christopher R.
    Hampton, Scott S.
    Skeel, Robert D.
    Izaguirre, Jesus A.
    JOURNAL OF CHEMICAL PHYSICS, 2009, 131 (17)
12345