An Application of B-Spline Wavelet Transform for Notch Detection Enhancement

Lu, Chen-Wen; Huang, Shyh-Jier

doi:10.1109/tpwrd.2004.829131

Cited by 12 publications

(9 citation statements)

References 19 publications

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“…The third category according to the type of PQD is associated with voltage notches. These studies mainly deal with the detection of notches in voltage signals [189,190,194,205,206,209]. The characterization of voltage notches is also performed in some cases.…”

Section: Literature Reviewmentioning

confidence: 99%

A systematic review of real-time detection and classification of power quality disturbances

Navarro

Agudelo-Martínez²,

Trujillo

et al. 2023

Prot Control Mod Power Syst

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This paper offers a systematic literature review of real-time detection and classification of Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches, as voltage sags cause huge economic losses while research on voltage notches is still very incipient. A systematic method based on scientometrics, text similarity and the analytic hierarchy process is proposed to structure the review and select the most relevant literature. A bibliometric analysis is then performed on the bibliographic data of the literature to identify relevant statistics such as the evolution of publications over time, top publishing countries, and the distribution by relevant topics. A set of articles is subsequently selected to be critically analyzed. The critical review is structured in steps for real-time detection and classification of PQDs, namely, input data preparation, preprocessing, transformation, feature extraction, feature selection, detection, classification, and characterization. Aspects associated with the type of disturbance(s) addressed in the literature are also explored throughout the review, including the perspectives of those studies aimed at multiple PQDs, or specifically focused on voltage sags or voltage notches. The real-time performance of the reviewed tools is also examined. Finally, unsolved issues are discussed, and prospects are highlighted.

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Section: Literature Reviewmentioning

confidence: 99%

A systematic review of real-time detection and classification of power quality disturbances

Navarro

Agudelo-Martínez²,

Trujillo

et al. 2023

Prot Control Mod Power Syst

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“…In (6), A m (n) is the magnitude and θ m (n) is the phase of the mth harmonic. In (7), A I, j (n), f I, j (n), and θ I, j (n) are the magnitude, frequency, and phase of the jth interharmonic, respectively. In (5), t spi (n), t not (n), t dec (n), and t dam (n) represents transients named spikes, notches, decaying oscillations, and damped exponentials.…”

Section: Problem Formulationmentioning

confidence: 99%

“…The necessity of improved detection performance for continuous monitoring of electric signals has motivated the development of several techniques that show a good trade-off between computational complexity and performance [2][3][4][5][6][7][8][9][10][11][12][13]. In fact, the correct detection of disturbances in voltage signals as well as their start and end points can provide relevant 2 EURASIP Journal on Advances in Signal Processing information to characterize the PQ disturbances and, maybe, their sources.…”

Section: Introductionmentioning

confidence: 99%

Detection of Disturbances in Voltage Signals for Power Quality Analysis Using HOS

Ribeiro

Marques

Duque

et al. 2007

EURASIP J. Adv. Signal Process.

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This paper outlines a higher-order statistics (HOS)-based technique for detecting abnormal conditions in voltage signals. The main advantage introduced by the proposed technique refers to its capability to detect voltage disturbances and their start and end points in a frame whose length corresponds to, at least, N = 16 samples or 1/16 of the fundamental component if a sampling rate equal to f s = 256 × 60 Hz is considered. This feature allows the detection of disturbances in submultiples or multiples of one-cycle fundamental component if an appropriate sampling rate is considered. From the computational results, one can note that almost all abnormal and normal conditions are correctly detected if N = s256, 128, 64, 32, and 16 and the SNR is higher than 25 dB. In addition, the proposed technique is compared to a root mean square (rms)-based technique, which was recently developed to detect the presence of some voltage events as well as their sources in a frame whose length ranges from 1/8 up to one-cycle fundamental component. The numerical results reveal that the proposed technique shows an improved performance when applied not only to synthetic data, but also to real one.

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“…Notches may be caused by commutation process in power converters, e.g. during controlling of induction motor through ac/ac converter [5]. Nonperiodic pulses may be caused by transformers that are switched on or off.…”

Section: Disturbancesmentioning

confidence: 99%

“…Nonperiodic pulses may be caused by transformers that are switched on or off. In both cases these disturbances can be described by the same formula [5]:…”

Section: Disturbancesmentioning

confidence: 99%