The Experts below are selected from a list of 6138 Experts worldwide ranked by ideXlab platform

Wang Xiao - One of the best experts on this subject based on the ideXlab platform.

Lin Fantao - One of the best experts on this subject based on the ideXlab platform.

  • Study of Electric Energy Measurement Algorithm Based on Morphological Wavelet Considering Distortion Waveform
    2015 Fifth International Conference on Instrumentation and Measurement Computer Communication and Control (IMCCC), 2015
    Co-Authors: Zhu Binruo, Song Xiaohui, Zhang Kai, Yang Yaojia, Lin Fantao
    Abstract:

    Mathematical morphology is a nonlinear signal processing method. It has no signal amplitude shift and attenuation of phase information when signals are processed. Therefore it has been widely used in the power system, such as harmonic analysis of transient signals, singularity detection and de-noising, detection of power quality, fault diagnosis, relay protection and fault location and so on. But it has not yet been applied to electric energy measurement of nonlinear signal. This paper proposes an algorithm used morphological wavelet to calculate the power in condition of non-linear load when considering the characteristics of multi-resolution analysis of wavelet transform. Morphological wavelet has the advantage of fast computing speed, accurate detection of edge information, moreover the performance of signal analysis is better than pure wavelet transform. It is proved that the method can accurately detect various nonlinear signals, extract fundamental energy, improve the accuracy of measurement, and reduce computation time through simulation analysis. Because of the rapidity of its computing, it can also be used for real-time monitoring of the signal.

G.a. Kyriazis - One of the best experts on this subject based on the ideXlab platform.

  • Extension of Swerlein's algorithm for AC voltage measurement in the frequency domain
    IEEE Transactions on Instrumentation and Measurement, 2003
    Co-Authors: G.a. Kyriazis
    Abstract:

    Two sampling algorithms that use a high-resolution voltmeter for accurately measuring the amplitudes and phase angles of the harmonics of a low-frequency, low-Distortion, voltage Waveform are presented. The technique is an extension to the frequency domain of a previously described approach. In the new approach, the harmonic parameters are evaluated by a least-squares, three-parameter, sine-fit algorithm. A faster algorithm that uses discrete Fourier transforms is also presented. The latter algorithm can estimate the parameters of m harmonics of a 100-Hz low Distortion Waveform in less than 4m seconds. The relative standard uncertainty associated with the RMS estimate depends on the Waveform stability, harmonic content, and noise variance, and is 2.5/spl times/10/sup -6/ for low-Distortion, 100 Hz sinusoidal Waveforms in the 10-V range. This uncertainty figure includes the noise variance contribution of the Waveform generator used in the tests.

Fernando Nunes Belchior - One of the best experts on this subject based on the ideXlab platform.

  • Electrical losses calculation under nonideal conditions: Computational versus experimental analysis
    Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010, 2010
    Co-Authors: Marcel F. C. Parentoni, J. Policarpo G. De Abreu, Fernando Nunes Belchior
    Abstract:

    The aim of this paper is to analyze the additional electrical losses in resistors subjected to non-ideal conditions of operation, ie, harmonic currents. With respect to the traditional ways to calculate the additional losses question, the analysis presented in this work is done in order to differentiate an increase of losses due to an increase in the RMS value and due to the current Distortion Waveform. Thus, in this paper, this analysis is based on both computer simulations and in laboratory measurements of the resistor temperature. The results from these two analysis tools are compared and confronted each other.

S Chen - One of the best experts on this subject based on the ideXlab platform.