The Development of a Novel Transient Signal Analysis: A Wavelet Transform Approach

This paper presents a new method for the analysis of transient signals in the frequency domain based on the Continuous Wavelet Transform (CWT). The proposed case study involves test signals measured from an electronic switch considering open and close operations. The source is connected to inductive, resistive, and capacitive loads. Resonance behaviors are introduced and compared with the Discrete Fourier Transform (DFT). Multiple factors, such as reliability, repeatability, high noise attenuation, and the smoothing of the analyzed spectrum, are considered in this study. This proposed study highlights the effectiveness of CWT in signal processing, especially in obtaining a detailed spectrum that reveals the behavior of electrical circuits. Resonance behaviors were analyzed, demonstrating that the signal processing performed by CWT is better for spectrum analysis than DFT. This study shows the potential of CWT to analyze transient electrical signals, specifically for identifying and characterizing the behavior of load connections and disconnections.

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Publication Details

Journal
Computation
Published
2024-09-03
DOI
https://doi.org/10.3390/computation12090178
Citations
5
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.64
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article

The Development of a Novel Transient Signal Analysis: A Wavelet Transform Approach

Juan C. Vásquez, John Edwin Candelo-Becerra, Eduardo Gómez-Luna, Dixon E. Cuadros-Orta
5 citations
Computation
Fault Detection and Control Systems
1.64
article

The Development of a Novel Transient Signal Analysis: A Wavelet Transform Approach

Juan C. Vásquez, John Edwin Candelo-Becerra, Eduardo Gómez-Luna, Dixon E. Cuadros-Orta
article en
5 citations

Abstract

This paper presents a new method for the analysis of transient signals in the frequency domain based on the Continuous Wavelet Transform (CWT). The proposed case study involves test signals measured from an electronic switch considering open and close operations. The source is connected to inductive, resistive, and capacitive loads. Resonance behaviors are introduced and compared with the Discrete Fourier Transform (DFT). Multiple factors, such as reliability, repeatability, high noise attenuation, and the smoothing of the analyzed spectrum, are considered in this study. This proposed study highlights the effectiveness of CWT in signal processing, especially in obtaining a detailed spectrum that reveals the behavior of electrical circuits. Resonance behaviors were analyzed, demonstrating that the signal processing performed by CWT is better for spectrum analysis than DFT. This study shows the potential of CWT to analyze transient electrical signals, specifically for identifying and characterizing the behavior of load connections and disconnections.

ComputationVol. 12(9)
Universidad Nacional de Colombia (CO), Aalborg University (DK), Universidad del Valle (CO)
Openalex Percentile: Top 16%
Fault Detection and Control Systems
1.64
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