An Adaptive Pulse Separation Strategy for PD Detection in Frequency-Tuned Resonant Tests

Zhou, Kaiyu; Li, Zerui; Zhu, Guangya; Huang, Yonglu; Li, Yuan

doi:10.1109/tim.2021.3054024

Cited by 13 publications

(2 citation statements)

References 23 publications

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“…Abnormal points are sensitive to the number of clustering results, and different clustering centers may result in different clustering results. In certain cases, samples belonging to outliers may become normal sample points under another clustering result [18][19][20]. Power data have the characteristic of significant changes in local density, such as during summer, when electricity consumption shows a significant upward trend, resulting in peak electricity consumption.…”

Section: Ad Of Fast Density Peakmentioning

confidence: 99%

A Fast Density Peak Clustering Method for Power Data Security Detection Based on Local Outlier Factors

Lv¹,

Li²,

Chen³

et al. 2023

Processes

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The basic work of power data research is anomaly detection. It is necessary to find a method suitable for processing current power system data. Research proposes an algorithm of fast density peak clustering with Local Outlier Factor (LOF). The algorithm has poor performance in processing datasets with irregular shapes and significant local density changes, and has the disadvantage of strong dependence on truncation distance. This study provides the decision rules for outliers incorporating the idea of LOF. The improved algorithm can fully consider the characteristics of power data and reduce the dependence on truncation distance. In anomaly detection based on the simulation of real power data, the classification accuracy of the improved CFSFDP algorithm is 4.87% higher than that of the traditional algorithm, and the accuracy rate is 97.41%. The missed and false detection rates of the LOF-CFSFDP algorithm are decreased by 2.23% and 2.64%, respectively, compared to the traditional algorithm, and it is ultimately able to reach rates of 1.26% and 1.33%. These results indicate that the algorithm proposed in this study can better describe the characteristics of power data, making the features of outliers and cluster center points more obvious.

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Section: Ad Of Fast Density Peakmentioning

confidence: 99%

A Fast Density Peak Clustering Method for Power Data Security Detection Based on Local Outlier Factors

Lv¹,

Li²,

Chen³

et al. 2023

Processes

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show abstract

“…A variety of algorithms are proposed to distinguish partial discharge signal and external noises [20][21][22]. Through feature extraction, pattern recognition and pattern classification of the measured waveforms and the interference of external noises are eliminated [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Parallel diode‐clamped linear converter for withstand test and partial discharge measurement of electric equipment

et al. 2023

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High-voltage withstand tests are essential for electric equipment like power transformers, electric cable lines, gas insulated switchgears etc. The partial discharge (PD) measurement for such equipment under applied high voltage is also required at the same time. Pulse Width Modulation (PWM)-based variable frequency power supply (VFPS) finds wide applications in the series resonance high-voltage testing circuits. However, the steep rising and falling voltage edges in the PWM process will produce large amount of partial discharge interference in a wide spectrum range, which will confuse the real partial discharge signal of the device and lead to the wrong estimation of the insulation status. This paper proposes a new VFPS based on the highefficiency linear power amplifier without PD interference. The topology and principle of the VFPS are given and discussed. A prototype rated at 232 V/35 A was designed and constructed to verify the feasibility of the proposed VFPS. Physical experiments were carried out on the prototype.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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AC calibration procedure for resonant testing equipment

Khazieva,

Mukhametshin

2023

International Scientific and Practical Conference “Innovative Technologies in Agriculture”

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An Adaptive Pulse Separation Strategy for PD Detection in Frequency-Tuned Resonant Tests

Cited by 13 publications

References 23 publications

A Fast Density Peak Clustering Method for Power Data Security Detection Based on Local Outlier Factors

A Fast Density Peak Clustering Method for Power Data Security Detection Based on Local Outlier Factors

Parallel diode‐clamped linear converter for withstand test and partial discharge measurement of electric equipment

AC calibration procedure for resonant testing equipment

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