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A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations. / Mercorelli, P.
In: Mechanical Systems and Signal Processing, Vol. 35, No. 1-2, 02.2013, p. 137-149.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Mercorelli, P 2013, 'A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations', Mechanical Systems and Signal Processing, vol. 35, no. 1-2, pp. 137-149. https://doi.org/10.1016/j.ymssp.2012.09.001

APA

Mercorelli, P. (2013). A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations. Mechanical Systems and Signal Processing, 35(1-2), 137-149. https://doi.org/10.1016/j.ymssp.2012.09.001

Vancouver

Mercorelli P. A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations. Mechanical Systems and Signal Processing. 2013 Feb;35(1-2):137-149. doi: 10.1016/j.ymssp.2012.09.001

Bibtex

@article{94c12e8f8a75404a88d3b82a7e722e96,
title = "A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations",
abstract = "This paper presents a robust online denoising algorithm for use in the online, instantaneous detection of changing harmonic signals. This algorithm uses a classical time correlation function (scalar product). For instantaneous frequency detection, a short window is considered. It is known that cleaned signals are required to determine the correct correlation between short signals. The measured signal is cleaned by the proposed noise removal algorithm, which uses wavelet packets. The proposed cleaning method avoids classical thresholding techniques. Computer simulations that validate the procedure are shown.",
keywords = "Engineering, Noise detection, Oscillation detection, Pantograph control, Wavelets",
author = "P. Mercorelli",
note = "Copyright 2012 Elsevier B.V., All rights reserved.",
year = "2013",
month = feb,
doi = "10.1016/j.ymssp.2012.09.001",
language = "English",
volume = "35",
pages = "137--149",
journal = "Mechanical Systems and Signal Processing",
issn = "0888-3270",
publisher = "Academic Press Inc.",
number = "1-2",

}

RIS

TY - JOUR

T1 - A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations

AU - Mercorelli, P.

N1 - Copyright 2012 Elsevier B.V., All rights reserved.

PY - 2013/2

Y1 - 2013/2

N2 - This paper presents a robust online denoising algorithm for use in the online, instantaneous detection of changing harmonic signals. This algorithm uses a classical time correlation function (scalar product). For instantaneous frequency detection, a short window is considered. It is known that cleaned signals are required to determine the correct correlation between short signals. The measured signal is cleaned by the proposed noise removal algorithm, which uses wavelet packets. The proposed cleaning method avoids classical thresholding techniques. Computer simulations that validate the procedure are shown.

AB - This paper presents a robust online denoising algorithm for use in the online, instantaneous detection of changing harmonic signals. This algorithm uses a classical time correlation function (scalar product). For instantaneous frequency detection, a short window is considered. It is known that cleaned signals are required to determine the correct correlation between short signals. The measured signal is cleaned by the proposed noise removal algorithm, which uses wavelet packets. The proposed cleaning method avoids classical thresholding techniques. Computer simulations that validate the procedure are shown.

KW - Engineering

KW - Noise detection

KW - Oscillation detection

KW - Pantograph control

KW - Wavelets

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-84870450018&origin=inward&txGid=0

U2 - 10.1016/j.ymssp.2012.09.001

DO - 10.1016/j.ymssp.2012.09.001

M3 - Journal articles

VL - 35

SP - 137

EP - 149

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

SN - 0888-3270

IS - 1-2

ER -

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DOI

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