On-line monitoring of insulator contamination causing flashover based on acoustic emission

Pei, Chunming; Ning, Shu; Li, L.; Li, Z.P.; Peng, Hui

doi:10.1109/drpt.2008.4523673

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…The most common methods used for measuring the contamination on an insulator are equivalent salt deposit density, leakage current, insulator shell conductance and measurement of air pollution [26]. ESDD is used for denoting the soluble part of surface contamination.…”

Section: Fig 9 Prediction Process By Neural Networkmentioning

confidence: 99%

Condition Monitoring of Outdoor High Voltage Insulators, Online and Offline Techniques: A review

2021

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Outdoor insulator plays a vital role in high voltage transmission and distribution system. The performance and properties of outdoor insulator may severely affect due to various types of pollutants. The failure of insulation in high voltage system results in loss of supply and a huge loss of electrical energy to distribution utilities. In order to reduce power losses and provide a reliable power transmission, selection and design of insulators is very important. To monitor the condition and performance of outdoor insulator in contaminated conditions an appropriate diagnostic technique is required. In this paper various online and offline techniques for conditioning monitoring of outdoor insulators are reviewed under different contaminated conditions. To maintain the healthy environment, the condition monitoring of power line insulators is an important requirement. There are number of techniques that have been introduced to fulfil this requirement. Each technique used at different contaminated condition have their own pros and cons. The findings indicate that the most important effect on the surface of the insulators based on the contamination on the surface leakage current and the flashover voltage. This paper will help in the selection and design of condition monitoring techniques for high voltage outdoor insulator.

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Section: Fig 9 Prediction Process By Neural Networkmentioning

confidence: 99%

Condition Monitoring of Outdoor High Voltage Insulators, Online and Offline Techniques: A review

2021

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“…The method of solid pollution layer is used in the experiment, using NaCl to simulate the conductive substance, and kaolin to infusible substance]. More details of artificial contamination experiment can be found in papers [11][12] .Fig. 1 shows experimental result of samples at 0.03 mg•cm -2 ESDD (the equivalent salt deposits density) level, which expresses a light degree of contamination.…”

Section: A Characteristics Of Ae Signals Emitted By Contaminated Insu...mentioning

confidence: 99%

“…In this work, a tri-level (image-level, feature-level and decision-level) data fusion model respectively by PCA, ANN and evidence theory is presented to assess the external insulation strength of contaminated-insulator. The data obtained in artificial contamination experiments of insulators [11,12] are analyzed to verify the proposed data fusion model. After comparison with ANN model, the result shows that the tri-level model is feasible and precise.…”

Section: Introductionmentioning

confidence: 99%

Application of Data Fusion to External Insulation Strength of Contaminated-Insulator Assessment

Pei

2012

AMM

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An external insulation of contaminated-insulator assessment method is proposed based on a tri-level data fusion model of combining principal component analysis (PCA) method, artificial neural net (ANN) method and evidence theory in this paper. When contaminated-insulators partial discharge (PD) occur, much effective information obtained from the sound emitted with PD are synthesized to evaluate the external insulation strength of insulators in operation by the studied method. Firstly, nine characteristic parameters that can rapidly reflect the PD process are selected for image-level fusion of PCA to reduce dimension, which gets two new parameters. Then the new parameters are inputted to ANN for feature-level fusion. Finally, the feature-level fusion output is used as the input of decision-level fusion and fused by means of D-S evidence theory for further reducing the uncertainty of assessment. The artificial contamination experiments were explored to verify the proposed method. The result indicates that the proposed model is more precise than the ANN model under the same conditions.

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“…The standard [9] intends to conduct a simulation of pollutants by a saline solution sprayed on the insulator. All previous standards focus on short times and avoid the noise of other external factors in the environment [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Modelling the Leakage Current Behaviour of Polluted Ceramic Insulators by Using Acoustic Emissions and Relative Humidity

et al. 2018

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Understanding the behaviour of leakage current (LC) is not an easy task for engineers and new techniques are needed to identify the outage risk of some electrical circuits. Therefore, this paper presents a Generalized Linear Model (GLM) to characterise the LC variations in 230 kV ceramic insulators located in outdoor electrical substations subject to high pollution levels. The model uses data such as LC, acoustic emission (AE), and environmental variables (EVs). We found that the model represents the LC variation of electrical insulators of high voltage circuits. This model is useful for designing detection systems that represent the contamination levels and predict the behaviour of changes related to EV. With this model, we can determine the risk indicators for failure of electrical insulators in high-pollution areas.

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On-line monitoring of insulator contamination causing flashover based on acoustic emission

Cited by 8 publications

References 3 publications

Condition Monitoring of Outdoor High Voltage Insulators, Online and Offline Techniques: A review

Condition Monitoring of Outdoor High Voltage Insulators, Online and Offline Techniques: A review

Application of Data Fusion to External Insulation Strength of Contaminated-Insulator Assessment

Modelling the Leakage Current Behaviour of Polluted Ceramic Insulators by Using Acoustic Emissions and Relative Humidity

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