Condition Monitoring of Zinc Oxide Surge Arresters

Novizon,; Abdul‐Malek, Zulkurnain; Bashir, Nouruddeen; Aulia,

doi:10.5772/23761

Cited by 8 publications

(14 citation statements)

References 12 publications

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“…Machine learning provides powerful approaches for predictive maintenance, although the performances are dependent on choosing an ML technique [57]. In Novizon and Abdul-Malek [58], the use of an MLP neural network is presented, which, through correlation of features extracted from the leakage current and thermal image, allows the classification of the operational state of the arrester. The combined use of indicators presented in the literature is highly effective.…”

Section: Methods For Monitoring the Temperaturementioning

confidence: 99%

A Bibliometric and Comprehensive Review on Condition Monitoring of Metal Oxide Surge Arresters

Zacarias,

Sant’Ana

2023

Sensors

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This paper presents a literature review on the subject of Condition-Based Maintenance of surge arresters. Both a bibliometric analysis and traditional comprehensive research are presented. The bibliometric analysis is useful for obtaining insights about the literature. It quantitatively highlights relationships between journals, authors and keywords (related to the monitoring methods) and reveals future trends for research based on the timeline of the keywords. The traditional comprehensive literature review is also presented. It summarizes the methods, their advantages and disadvantages and also points to some known measurement issues of the methods. Both online (leakage current, harmonic components, temperature, partial discharges, power loss and the counting of discharges) and offline (reference voltage, residual voltage, insulation resistance, polarization/depolarization, return voltage, microscopy, spectrometry, X-ray, RUS and the recent application of FRA) methods have been qualitatively analyzed.

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Section: Methods For Monitoring the Temperaturementioning

confidence: 99%

A Bibliometric and Comprehensive Review on Condition Monitoring of Metal Oxide Surge Arresters

Zacarias,

Sant’Ana

2023

Sensors

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“…iv. Capacitive current compensation [15][16][17][18][19][20][21]. v. Iterative (ITER) method for resistive leakage current [15].…”

Section: Methods For Mosa Monitoringmentioning

confidence: 99%

“…Capacitive current compensation methods have been thoroughly analysed in numerous scientific research papers [15][16][17][18][19][20][21]. These methods are based on manipulations over the measured signals of operating voltage and leakage current.…”

Section: Capacitive Current Compensation Methodsmentioning

confidence: 99%

Experimental verification of monitoring techniques for metal‐oxide surge arrester

Dobrić

Stojković

Stojanović

2020

IET Generation, Transmission & Distribution

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“…Additionally, more methods can be used to determine indicators based on leakage current analysis, such as capacitive current compensation [3][4][5][6][7][8][9][10][11] or iterative method [24]. They only represent different ways of obtaining the same indicators, and for simplicity of the paper, they are not represented in this paper.…”

Section: Genetic Algorithm (Ga) Methodsmentioning

confidence: 99%

“…• Capacitive current compensation [3][4][5][6][7][8][9][10][11]. • The third harmonic of resistive current [12].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy expert system for metal-oxide surge arrester condition monitoring

Dobrić

Žarković

2020

Electr Eng

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Metal-oxide surge arresters (MOSAs) play an important role in preventing outage situations and thus in preserving the reliability of electric power system. So far, many MOSA monitoring methods have been developed. These methods propose different indicators that are more or less reliable in MOSA monitoring and diagnostics. Another important aspect of these indicators is that each one of them can be determined with a certain estimation error. None of the indicators has been proved to be supreme. Nevertheless, under different conditions, the reliability of these indicators may vary. This paper presents an analysis methodology for reliability of MOSA indicators and proposes a fuzzy logic expert system that overcomes the problem of decision-making in the case when more than one indicator is available. The analysis and verification are done by computer simulations.

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Condition Monitoring of Zinc Oxide Surge Arresters

Cited by 8 publications

References 12 publications

A Bibliometric and Comprehensive Review on Condition Monitoring of Metal Oxide Surge Arresters

A Bibliometric and Comprehensive Review on Condition Monitoring of Metal Oxide Surge Arresters

Experimental verification of monitoring techniques for metal‐oxide surge arrester

Fuzzy expert system for metal-oxide surge arrester condition monitoring

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