Development of a fuzzy expert system for power transformer diagnostics

Khlebtsov, A P; Shilin, A. N.; Rybakov, A. V.; Klyucharev, A Yu

doi:10.1088/1742-6596/2091/1/012064

Cited by 3 publications

(2 citation statements)

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“…j is the IF set composed of the evaluation value of each evaluation object given by the kth expert under j-th index, and E JY n (􏽥 p (k) ) is the proposed entropy defined in equation (7), which has the following mathematical formula:…”

Section: Intuitionistic Fuzzy Risk Assessment Model Of Powermentioning

confidence: 99%

“…Muhammad Arshad et al [6] have obtained positive results by using fuzzy logic diagnosis and data interpretation techniques to assess the risks of power transformers, as well as to evaluate the remaining service life of power transformers. Khlebtsov et al [7] combined theory with practice and developed a software by using fuzzy reasoning algorithms. is software can detect the risk of power transformer failure in the early stage and reduce the risk of power transformer failure.…”

Section: Introductionmentioning

confidence: 99%

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Risk Priority Evaluation for Power Transformer Parts Based on Intuitionistic Fuzzy Preference Selection Index Method

Jiang

Ren

2022

Mathematical Problems in Engineering

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The risk assessment of power transformer equipment can not only improve the safety and management level of transformer operation, but also reduce the operation and maintenance costs of the equipment on the basis of ensuring the overall reliable operation of the power system. As a result, it can enhance the rewards of assets investment. The quantitative analysis of power equipment risk often contains qualitative indicators that are difficult to quantify. These indicators have the characteristics of fuzziness. In order to improve the accuracy and reliability of risk assessment results, this paper proposed a new risk evaluation method based on intuitionistic fuzzy set. Firstly, language variables are transformed into corresponding intuitionistic fuzzy numbers. Secondly, a novel entropy of intuitionistic fuzzy set is established. Thirdly, a weighting method for determining each expert’s importance is proposed based on the new propose entropy. Furthermore, an extended preference selection index is put forward under intuitionistic fuzzy environment. Finally, an example of the risk assessment of power transformer components is discussed to illustrate the effectiveness of the new risk evaluation method.

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Section: Intuitionistic Fuzzy Risk Assessment Model Of Powermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Risk Priority Evaluation for Power Transformer Parts Based on Intuitionistic Fuzzy Preference Selection Index Method

Jiang

Ren

2022

Mathematical Problems in Engineering

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System for Recognizing the Type of Emergency Modes of Overhead Power Lines Using Fuzzy Logic

Dikarev

Shilin

2022

2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

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Analysis of Mathematical Methods of Integral Expert Evaluation for Predictive Diagnostics of Technical Systems Based on the Kemeny Median

et al. 2023

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At present, diagnostics of the current technical condition of high-voltage power equipment in power systems have become more important. This allows the estimation of the real technical condition of power equipment more accurately with its removal into repair based on the results of the diagnostics. This paper presents the comparative analysis of expert evaluations with the use of the arithmetical mean and median values of expert evaluations. In this case, individual expert opinions, influenced by a level of competence, correspond to each other in a different manner, depending on the applied approach. As the comparison of the consistency of expert opinions is the basis for decision-making, it is recommended to make a decision on the technical condition using median estimations because these estimations are less subjected to distortions from single outliers of judgments. This provides more reliable information for making key decisions. Three approaches are considered in this paper: the method of arithmetical mean estimations, the method of median estimations based on the Kemeny median method, and the analytic hierarchy process of Saaty. The considered methods allow decisions on power equipment operation to be made very quickly; namely, if the power equipment is in an operable state and may remain operated, or it has considerable defects and should be removed from operation for routine maintenance, or it has reached the final technical state and needs to be removed from operation.

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Development of a fuzzy expert system for power transformer diagnostics

Cited by 3 publications

References 1 publication

Risk Priority Evaluation for Power Transformer Parts Based on Intuitionistic Fuzzy Preference Selection Index Method

Risk Priority Evaluation for Power Transformer Parts Based on Intuitionistic Fuzzy Preference Selection Index Method

System for Recognizing the Type of Emergency Modes of Overhead Power Lines Using Fuzzy Logic

Analysis of Mathematical Methods of Integral Expert Evaluation for Predictive Diagnostics of Technical Systems Based on the Kemeny Median

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