Analysis of Partial Discharges in Electrical Tree Growth Under Very Low Frequency (VLF) Excitation Through Pulse Sequence and Nonlinear Time Series Analysis

Donoso, Pablo; Schurch, Roger; Ardila, Jorge; Orellana, Luis

doi:10.1109/access.2020.3022292

Cited by 7 publications

(7 citation statements)

References 52 publications

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“…This tool considers the relationship of each pulse with its neighbors to avoid the loss of information on the physical phenomenon associated with the variation in the electric field. PSA proposes various patterns to analyze, but in the case of this work, the main analyzed pattern was ∆U (n−1) /∆t (n−1) v/s ∆U n /∆t n , which, due to its sensitivity, has previously been used to describe electrical arborization [22,23].…”

Section: Pulse Sequence Analysismentioning

confidence: 99%

“…In order to simplify the comparison between tests at different voltage and frequency levels, the patterns were normalized utilizing Equation (1), obtained from [22].…”

Section: Pulse Sequence Analysismentioning

confidence: 99%

“…where V b is the RMS test voltage and f b is the test frequency. For more information regarding the calculation and visualization methodology, consult [22].…”

Section: Pulse Sequence Analysismentioning

confidence: 99%

“…NLTSA is a set of tools derived from nonlinear dynamic system theory usually related to mathematic chaos. This paper used the correlation dimension D 2 to characterize electrical tree stages using the methodology deployed in [22]. The algorithm to calculate this parameter is based on Takens' embedding method, which allows for the reconstruction of an approximation of the system's state space from the measurement of a single observable variable.…”

Section: Nonlinear Time Series Analysismentioning

confidence: 99%

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Identification of Electrical Tree Aging State in Epoxy Resin Using Partial Discharge Waveforms Compared to Traditional Analysis

Schurch

Munoz²,

Ardila-Rey

et al. 2023

Polymers

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Electrical treeing is one of the main degradation mechanisms in high-voltage polymeric insulation. Epoxy resin is used as insulating material in power equipment such as rotating machines, power transformers, gas-insulated switchgears, and insulators, among others. Electrical trees grow under the effect of partial discharges (PDs) that progressively degrade the polymer until the tree crosses the bulk insulation, then causing the failure of power equipment and the outage of the energy supply. This work studies electrical trees in epoxy resin through different PD analysis techniques, evaluating and comparing their ability to identify tree bulk-insulation crossing, the precursor of failure. Two PD measurement systems were used simultaneously—one to capture the sequence of PD pulses and another to acquire PD pulse waveforms—and four PD analysis techniques were deployed. Phase-resolved PD (PRPD) and pulse sequence analysis (PSA) identified tree crossing; however, they were more sensible to the AC excitation voltage amplitude and frequency. Nonlinear time series analysis (NLTSA) characteristics were evaluated through the correlation dimension, showing a reduction from pre- to post-crossing, and thus representing a change to a less complex dynamical system. The PD pulse waveform parameters had the best performance; they could identify tree crossing in epoxy resin material independently of the applied AC voltage amplitude and frequency, making them more robust for a broader range of situations, and thus, they can be exploited as a diagnostic tool for the asset management of high-voltage polymeric insulation.

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Section: Pulse Sequence Analysismentioning

confidence: 99%

“…In order to simplify the comparison between tests at different voltage and frequency levels, the patterns were normalized utilizing Equation (1), obtained from [22].…”

Section: Pulse Sequence Analysismentioning

confidence: 99%

“…where V b is the RMS test voltage and f b is the test frequency. For more information regarding the calculation and visualization methodology, consult [22].…”

Section: Pulse Sequence Analysismentioning

confidence: 99%

Section: Nonlinear Time Series Analysismentioning

confidence: 99%

See 2 more Smart Citations

Identification of Electrical Tree Aging State in Epoxy Resin Using Partial Discharge Waveforms Compared to Traditional Analysis

Schurch

Munoz²,

Ardila-Rey

et al. 2023

Polymers

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“…When electrical trees are initiated, they grow until they bridge the entire insulation material, resulting in catastrophic failure of the power system plant. Electrical trees are strongly related to partial discharge (PD) activity, which is usually characterized using techniques such as phase-resolved PD (PRPD) patterns [ 2 , 3 ], and, to a lesser extent, pulse sequence analysis (PSA) [ 4 ], pulse waveform analysis [ 5 ], and nonlinear time series analysis [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin

Mas’ud

Sundaram

Ardila-Rey

et al. 2021

Sensors

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In high-voltage (HV) insulation, electrical trees are an important degradation phenomenon strongly linked to partial discharge (PD) activity. Their initiation and development have attracted the attention of the research community and better understanding and characterization of the phenomenon are needed. They are very damaging and develop through the insulation material forming a discharge conduction path. Therefore, it is important to adequately measure and characterize tree growth before it can lead to complete failure of the system. In this paper, the Gaussian mixture model (GMM) has been applied to cluster and classify the different growth stages of electrical trees in epoxy resin insulation. First, tree growth experiments were conducted, and PD data captured from the initial to breakdown stage of the tree growth in epoxy resin insulation. Second, the GMM was applied to categorize the different electrical tree stages into clusters. The results show that PD dynamics vary with different stress voltages and tree growth stages. The electrical tree patterns with shorter breakdown times had identical clusters throughout the degradation stages. The breakdown time can be a key factor in determining the degradation levels of PD patterns emanating from trees in epoxy resin. This is important in order to determine the severity of electrical treeing degradation, and, therefore, to perform efficient asset management. The novelty of the work presented in this paper is that for the first time the GMM has been applied for electrical tree growth classification and the optimal values for the hyperparameters, i.e., the number of clusters and the appropriate covariance structure, have been determined for the different electrical tree clusters.

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Partial Discharge Electrical Tree Growth Identification by Means of Waveform Source Separation Techniques

et al. 2021

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Electrical trees are one of the main degradation processes leading to failure of high voltage polymeric insulation. Electrical trees grow under the effect of partial discharges (PD), which can be measured and analyzed for condition monitoring of electrical insulation. In this paper, techniques that are normally used for classification of PD and noise separation were explored in their ability to determine the stage of growth of electrical trees: Spectral Power Clustering Technique (SPCT), Time-Frequency (TF) maps and Chromatic Technique (CT). The techniques allowed to analyze PD signals captured in ultra-high frequency (UHF) range with an antenna during tree growth. Laboratory treeing-samples were made of epoxy resin and trees were generated at six different excitation frequencies: 0.1, 10, 50, 150, 250 and 350 Hz. The results showed that two parameters, part of SPCT and TF maps, were sensitive to the tree progression and showed a consistent relation with the length of the tree: the low-frequency power ratio and the equivalent bandwidth. These two parameters were selected to create a new map, proposed for the characterization of electrical tree growth, which is more consistent and robust than the original separation maps. It was found that the low-frequency content of PD pulses proportionally increased with tree propagation. INDEX TERMSChromatic technique, electrical trees, electrical insulation, partial discharges, source separation techniques, spectral power clustering technique, time-frequency.

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Analysis of Partial Discharges in Electrical Tree Growth Under Very Low Frequency (VLF) Excitation Through Pulse Sequence and Nonlinear Time Series Analysis

Cited by 7 publications

References 52 publications

Identification of Electrical Tree Aging State in Epoxy Resin Using Partial Discharge Waveforms Compared to Traditional Analysis

Identification of Electrical Tree Aging State in Epoxy Resin Using Partial Discharge Waveforms Compared to Traditional Analysis

Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin

Partial Discharge Electrical Tree Growth Identification by Means of Waveform Source Separation Techniques

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