Efficient coherent adaptive representations of monitored electric signals in power systems using damped sinusoids

This paper presents coherent representations of electric power systems signals. These representations are obtained by employing adaptive signal decompositions. They provide a tool to identify structures composing a signal and constitute an approach to represent a signal from its identified component...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2005-10, Vol.53 (10), p.3831-3846
Main Authors: Lovisolo, L., da Silva, E.A.B., Rodrigues, M.A.M., Diniz, P.S.R.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Coherence
Coherent representations
damped sinusoids
Decomposition
Dictionaries
Electric power generation
Exact sciences and technology
Fault diagnosis
Information, signal and communications theory
Matching
Matching pursuit algorithms
matching pursuits
Monitoring
Power system interconnection
Power system transients
Power systems
power systems transient analysis
Representations
Signal analysis
Signal and communications theory
signal compression
signal modeling
Signal processing
Signal representation. Spectral analysis
signal representations
Signal, noise
Studies
Telecommunications and information theory
Voltage
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents coherent representations of electric power systems signals. These representations are obtained by employing adaptive signal decompositions. They provide a tool to identify structures composing a signal and constitute an approach to represent a signal from its identified components. We use the matching pursuits algorithm, which is a greedy adaptive decomposition, that has the potential of decomposing a signal into coherent components. The dictionary employed is composed of damped sinusoids in order to obtain signal components closely related to power systems phenomena. In addition, we present an effective method to suppress the pre-echo and post-echo artifacts that often appear when using the matching pursuits. However, the use of a dictionary of damped sinusoids alone does not ensure that the decomposition will be meaningful in physical terms. To overcome this constraint, we develop a technique leading to efficient coherent damped-sinusoidal decompositions that are closely related to the physical phenomena being observed. The effectiveness of the proposed method for compression of synthetic and natural signals is tested, obtaining high compression ratios along with high signal-to-noise ratio.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2005.855400