Power quality detection and classification using wavelet-multiresolution signal decomposition

1999 ◽  
Vol 14 (4) ◽  
pp. 1469-1476 ◽  
Author(s):  
A.M. Gaouda ◽  
M.M.A. Salama ◽  
M.R. Sultan ◽  
A.Y. Chikhani
Keyword(s):  
Power Quality ◽  
Signal Decomposition ◽  
Quality Detection ◽  
Multiresolution Signal Decomposition

scholarly journals Prediction of Squeal Noise Based on Multiresolution Signal Decomposition and Wavelet Representation—Application to FEM Brake Systems Subjected to Friction-Induced Vibration

2020 ◽  
Vol 10 (21) ◽  
pp. 7418
Author(s):  
Grégoire Corradi ◽  
Jean-Jacques Sinou ◽  
Sébastien Besset
Keyword(s):  
Acoustic Radiation ◽  
Synthesis Method ◽  
Element Model ◽  
Signal Decomposition ◽  
Reduced Models ◽  
Wavelet Representation ◽  
Acoustic Pattern ◽  
Squeal Noise ◽  
Friction Induced Vibration ◽  
Multiresolution Signal Decomposition

This paper is devoted to discussion of the efficiency of reduced models based on a Double Modal Synthesis method that combines a classical modal reduction and a condensation at the frictional interfaces by computing a reduced complex mode basis, for the prediction of squeal noise of mechanical systems subjected to friction-induced vibration. More specifically, the use of the multiresolution signal decomposition of acoustic radiation and wavelet representation will be proposed to analyze details of a pattern on different observation scales ranging from the pixel to the size of the complete acoustic pattern. Based on this approach and the definition of specific resulting criteria, it is possible to quantify the differences in the representation of the acoustic fields for different reduced models and thus to perform convergence studies for different scales of representation in order to evaluate the potential of reduced models. The effectiveness of the proposed approach is tested on the finite element model of a simplified brake system that is composed of a disc and two pads. The contact is modeled by introducing contact elements at the two friction interfaces with the classical Coulomb law and a constant friction coefficient. It is demonstrated that the new proposed criteria, based on multiresolution signal decomposition, allow us to provide satisfactory results for the choice of an efficient reduced model for predicting acoustic radiation due to squeal noise.

scholarly journals Photovoltaic based DVR with Power Quality Detection using Wavelet Transform

2017 ◽  
Vol 117 ◽  
pp. 458-465 ◽  
Author(s):  
D. Divyalakshmi ◽  
N.P. Subramaniam
Keyword(s):  
Wavelet Transform ◽  
Power Quality ◽  
Quality Detection

Disturbance Detection Method of Power Quality Based on Mathematical Morphology and Lifting Wavelet

2014 ◽  
Vol 644-650 ◽  
pp. 1205-1208 ◽  
Author(s):  
Xiao Fei Wang ◽  
Xia Chen ◽  
Ning Xia Yang ◽  
Xiao Jing Zhang ◽  
Ya Chao Hu
Keyword(s):  
Power Quality ◽  
Mathematical Morphology ◽  
Impulse Noise ◽  
Detection Method ◽  
Random Noise ◽  
Quality Detection ◽  
Lifting Wavelet ◽  
Simulation Results ◽  
Disturbance Detection ◽  
Detection Principle

Considering in the progress of the power quality detection for disturbance signal, detected signals are often has the problem of random noise and impulse noise, in this paper, by using traditional wavelet de-noising, put forward a detection method of disturbance signal based on mathematical morphology and lifting wavelet, discussed its detection principle and implementation methods. Simulation results show that the method de-noising effect is obvious, can effectively improve the accuracy of the disturbance signal judgment.

Sign in / Sign up

Export Citation Format

Share Document