Power Harmonic Analysis System Based on Virtual Instrument

2014 ◽  
Vol 599-601 ◽  
pp. 1942-1945
Author(s):  
Wei Chen ◽  
Wen Fang Shi ◽  
Long Chen
Keyword(s):  
Harmonic Analysis ◽  
Virtual Instrument ◽  
Interface Design ◽  
Correction Method ◽  
Detection Algorithm ◽  
Harmonic Detection ◽  
Waveform Data ◽  
Tcp Protocol ◽  
Analysis System ◽  
Data Acquisition Module

This paper presents a power harmonic analysis system based on virtual instrument. LabVIEW data acquisition module was used to acquire waveform data in this system. Combined with FFT (Fast Fourier Transform) and phase difference correction method, amplitude, phase and frequency information of voltage and current’s every harmonic are obtained successfully. LabVIEW rich controls are employed to complete GUI (Graphical User Interface) design under windows and constructs network through TCP protocol. The realization and simulation of the harmonic detection algorithm are discussed in detail.

A Harmonic Analysis Algorithm Based on Tracking the Fundamental

2014 ◽  
Vol 543-547 ◽  
pp. 2385-2390
Author(s):  
Yan Gao ◽  
Wen Jing Chang ◽  
Guang Yao Wang ◽  
Yi Ran Li
Keyword(s):  
Harmonic Analysis ◽  
Fundamental Frequency ◽  
Signal Sequence ◽  
Electrical Energy ◽  
Detection Algorithm ◽  
Sampling Frequency ◽  
Wave Frequency ◽  
Detection Accuracy ◽  
Harmonic Detection ◽  
Frequency Multiplication

In the FFT harmonic detection, the detection accuracy is reduced because of asynchronicity between the sampling frequency and the signal of base wave frequency. In order to improve the detection accuracy, a harmonic detection algorithm based on the fundamental frequency tracking is proposed. Firstly windowed interpolation FFT algorithm is used to detect signal of base wave frequency, then the fundamental frequency is tracked and the sampling frequency is dynamically adjusted. Finally, the signal sequence is obtained by quasi synchronous sampling with frequency multiplication technology, and amplitudes and phases of the signal are received with the FFT analysis. Because the sampling frequency synchronization error and the influence of frequency spectrum leakage are reduced, the detection accuracy is improved. This algorithm is applied to the electrical energy harmonic analysis with simple implementation and high accuracy.

Database Visiting Method and Application in Electronic Power Monitor System by Using LabSQL in Virtual Instrument LabVIEW

2010 ◽  
Vol 20-23 ◽  
pp. 110-115 ◽  
Author(s):  
Man Xiang Miao
Keyword(s):  
Data Processing ◽  
Electric Power ◽  
Monitoring System ◽  
Virtual Instrument ◽  
Interface Design ◽  
Power Market ◽  
Instrument Design ◽  
Monitor System ◽  
Electric Power Market ◽  
High Quality

Electric power quantity monitor is a premise to provide high-quality electric power, therefore, on the electric power market; it has appeared much more electric power quantity monitoring system based on virtual instrument design technology such as software of LabVIEW. We aims at calculator data processing shortcome of LabVIEW, which is inconvenience in using LabVIEW during databases interface realization. This paper mainly introduces how to realize interface design between LabVIEW and database. As well as introducing ADO technique how to carry out LabVIEW visiting databases. Because design transplantation is stronger, so, system has broad function and application foreground.

The Research and Design of Virtual Spindle Vibration Test System

2014 ◽  
Vol 556-562 ◽  
pp. 2903-2905
Author(s):  
Fang Dong ◽  
Jian Cheng Yang ◽  
Tian Zhu Gao ◽  
Yu Xie ◽  
Lei Guo ◽  
...  
Keyword(s):  
Virtual Instrument ◽  
Vibration Signal ◽  
Scientific Basis ◽  
Test System ◽  
Vibration Testing ◽  
Labview Software ◽  
Data Acquisition Card ◽  
Spindle Vibration ◽  
Analysis System ◽  
New Generation

In order to facilitate dynamic analysis of spindle, improve the vibration characteristics of the spindle and achieve the goal of control of spindle motion stability. A spindle vibration testing system is developed with necessary sensor, signal conditioner and data acquisition card based on Labview software in this paper. The spindle vibration testing and analysis system is formed based on virtual instrument graphical programming language Labview. The hardware is reduced in testing process. At the same time, acquisition, processing and analysis for vibration signal are realized, and the costs of hardware are greatly reduced. The testing work is made more convenient and quick by this system, and test is made more intuitive by its real-time display function. It will provide a scientific basis for searching for measures to reduce the spindle vibration and developing a new generation of mechanical structure of the spindle.

scholarly journals An Improved Jacobi-Based Detector for Massive MIMO Systems

Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 165 ◽  
Author(s):  
Xiaoqing Zhao ◽  
Zhengquan Li ◽  
Song Xing ◽  
Yang Liu ◽  
Qiong Wu ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Communication Systems ◽  
Mimo Systems ◽  
Minimum Mean Square Error ◽  
Multiple Input Multiple Output ◽  
Correction Method ◽  
Detection Algorithm ◽  
Detection Accuracy ◽  
Input Multiple Output ◽  
Mmse Detector

Massive multiple-input-multiple-output (MIMO) is one of the key technologies in the fifth generation (5G) cellular communication systems. For uplink massive MIMO systems, the typical linear detection such as minimum mean square error (MMSE) presents a near-optimal performance. Due to the required direct matrix inverse, however, the MMSE detection algorithm becomes computationally very expensive, especially when the number of users is large. For achieving the high detection accuracy as well as reducing the computational complexity in massive MIMO systems, we propose an improved Jacobi iterative algorithm by accelerating the convergence rate in the signal detection process.Specifically, the steepest descent (SD) method is utilized to achieve an efficient searching direction. Then, the whole-correction method is applied to update the iterative process. As the result, the fast convergence and the low computationally complexity of the proposed Jacobi-based algorithm are obtained and proved. Simulation results also demonstrate that the proposed algorithm performs better than the conventional algorithms in terms of the bit error rate (BER) and achieves a near-optimal detection accuracy as the typical MMSE detector, but utilizing a small number of iterations.

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