De-noising of Voltage Sag using Wavelet Transform
نویسندگان
چکیده
Wavelet analysis approach is presented in this paper for the automatic detection and analysis of voltage sag in power systems with noise and without noise. Wavelet analysis is used to process the voltage waveform for detection and better estimation of the time-related parameters of a voltage Sag in voltage supply, The method proposed, which can be processed in real-time, has been simulated for a low voltage distribution system, showing the potential in data reduction and accurate characterization of voltage Sag in power systems .
منابع مشابه
De-Noising SPECT Images from a Typical Collimator Using Wavelet Transform
Introduction: SPECT is a diagnostic imaging technique the main disadvantage of which is the existence of Poisson noise. So far, different methods have been used by scientists to improve SPECT images. The Wavelet Transform is a new method for de-noising which is widely used for noise reduction and quality enhancement of images. The purpose of this paper is evaluation of noise reduction in SPECT ...
متن کاملAssessment of the Wavelet Transform for Noise Reduction in Simulated PET Images
Introduction: An efficient method of tomographic imaging in nuclear medicine is positron emission tomography (PET). Compared to SPECT, PET has the advantages of higher levels of sensitivity, spatial resolution and more accurate quantification. However, high noise levels in the image limit its diagnostic utility. Noise removal in nuclear medicine is traditionally based on Fourier decomposition o...
متن کاملMultifunction Power Quality Monitoring System
In this paper a new power quality monitoring (PQM) system for detection and classification of power quality voltage disturbances is presented. The implementation of the proposed PQM system in a graphical user interface (GUI) is also presented. The wavelet transform (WT) is used for de-noising and detection of the disturbances on power voltage line. Detected disturbances are separated using bina...
متن کاملQuantitative Assessment of Conventional and Modern De-Noising on Nuclear Medicine Images
Introduction: One of the major problems in the development of nuclear medicine images is the presence of noise. The noise level in nuclear medicine images is usually reduced by the analysis of imaging data in a Fourier transform environment. The main drawback of this environment belongs to low signal to noise ratio in high frequencies because removing noise frequencies may remove data and times...
متن کاملAn Adaptive Method of Image De-noising based on Discrete Wavelet Transform
IJSER © 2013 http://www.ijser.org Abstract — This paper presents the Wavelet based Image De-noising. The search for efficient image De-noising methods is still a valid challenge at the crossing of functional analysis and statistics using discrete wavelet transform. De-noising of stationary images corrupted by Gaussian noise using wavelet techniques is very effective because of its ability to ca...
متن کامل