Integrated Transformer Health Estimation Methodology Based on Markov Chains and Evidential Reasoning

Milosavljević, Srdjan; Janjić, Aleksandar

doi:10.1155/2020/7291749

Cited by 11 publications

(5 citation statements)

References 28 publications

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“…Because not all utilities have a complete history of transformer tests, or some of these tests are missing, in [35], a time-updated health index is proposed, which performs the calculation of an asset's initial state through Markov chains, thereby estimating certain parameters and obtaining acceptable results.…”

Section: Methodologies For Evaluating the Useful Life Of Power Transf...mentioning

confidence: 99%

Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review

Balanta,

Rivera,

Romero

et al. 2023

Energies

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The power transformer is one of the most critical assets in power systems; therefore, planning and optimizing the economic investment for its replacement is crucial for the financial efficiency of the utility. A compilation of the main approaches reported in the literature for the replacement of oil-immersed power transformers is presented in this article. A chronological description of procedures presented in the literature for the determination of risk index, useful life evaluation, and transformer replacements is provided. Methodologies that use the theoretical basis of the degree of polymerization of the solid insulation of the units through the oxidation aging process to estimate their condition bring together the best tools currently available to achieve this objective. However, it is important and pertinent to complement these methodologies by considering the aging processes by pyrolysis and hydrolysis together and by incorporating economic analyses for appropriate replacement and management of these aged units.

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Section: Methodologies For Evaluating the Useful Life Of Power Transf...mentioning

confidence: 99%

Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review

Balanta,

Rivera,

Romero

et al. 2023

Energies

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“…For instance, studies in [11], [12] proposed a Bayesian belief network HI that is able to capture the uncertainties of used data by showing the percentage of each transformer, judged as a certain category. Study in [13] proposed a health estimation approach using Markov chains and evidential reasoning. This model was aimed to overcome problems such as uncertainty, accuracy and confidence in the inspected results.…”

Section: Introductionmentioning

confidence: 99%

Dealing With Data Uncertainty for Transformer Insulation System Health Index

2021

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Health index has been widely accepted as a powerful tool for monitoring the condition of power transformer insulation system based on various diagnostic parameters. While this approach has been extensively discussed in the literature, not much attention was given to provide effective solutions to the uncertainty in the used data. According to CIGRE 761, data quality issues may arise due to measurement accuracy as well as incompleteness and unavailability of the required data. Therefore, this article presents the implementation and evaluation of a certainty level model for transformer insulation system health index to deal with data uncertainty. The impact of data unavailability on the health index results is also investigated. Certainty level of the health index is determined by the criticality level of available data, and is reported along with the health index result. A method to handle unavailable data by predicting the oil interfacial tension (IFT) using Random Forest approach is also presented. The proposed certainty level model is designed to accommodate the predicted value of missed data into the health index model while considering its prediction accuracy. The robustness of the developed model is validated through its application in assessing the health condition of six in-service power transformers. The results indicate that by including the proposed certainty level and the prediction approach to eliminate the issue of uncertain and missed diagnostic data, an asset management decision can be taken on operating power transformer fleets with high level of confidence.

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“…And, Li et al studied the limit theorem of the Markov chain function in the environment of single infinite Markovian systems [19]. Markov chain has been widely used for prediction in other fields, such as parallel computing [20], data modeling [21], information freshness [22], robotic surveillance [23], and transformer health estimation [24].…”

Section: Introductionmentioning

confidence: 99%

A Blockchain Prediction Model on Time, Value, and Purchase Based on Markov Chain and Queuing Theory in Stock Trade

Lian

Fan

Jia

et al. 2020

Mathematical Problems in Engineering

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With the continuous development of the blockchain, it has brought a subversive impact on the blossom of all fields with its characteristics of decentralization, trust-free, and tampering, especially in the financial field. It is of great significance to research the application of blockchain technology in the financial field. As an important part of the financial market, stock has the crucial influence, and the combination of stock and blockchain is becoming a growing trend. In recent years, many studies have focused on the prediction of the stock value, but they have not fully considered the combination of time, value, and purchase. To solve the above problem, we propose a preemption queuing model for multipriority service objects in the blockchain financial architecture according to different service priority. Meanwhile, a queuing-based resource scheduling model is established by using the Markov chain to find the optimal solution. The method in this paper can greatly improve the efficiency of the system and provide a basis for future scientific research in the healthy and sustainable development of the securities industry.

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Integrated Transformer Health Estimation Methodology Based on Markov Chains and Evidential Reasoning

Cited by 11 publications

References 28 publications

Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review

Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review

Dealing With Data Uncertainty for Transformer Insulation System Health Index

A Blockchain Prediction Model on Time, Value, and Purchase Based on Markov Chain and Queuing Theory in Stock Trade

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