Review of Sweep Frequency Response Analysis -SFRA for Assessment Winding Displacements and Deformation in Power Transformers

Secue, J.; Mombello, Enrique E.

doi:10.1109/tla.2007.4378524

Cited by 7 publications

(4 citation statements)

References 30 publications

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“…El método de Análisis de Respuesta en Frecuencia básicamente es utilizado para verificar la integridad mecánica de los núcleos de transformador, los devanados y los bastidores de presión de los transformadores de potencia. Consiste en la medición de la relación entre la señal de respuesta en un transformador ante un estímulo, para un amplio rango de frecuencia y la comparación con mediciones de referencia o fábrica [19].…”

Section: Análisis De Respuesta En Frecuencia (Fra)unclassified

Técnicas para el diagnóstico de transformadores de potencia: Una revisión crítica

Henao

Fernández

Gómez

2020

Ingeniare. Rev. chil. ing.

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Los sistemas de transmisión de energía eléctrica comprenden un enlace fundamental en el sector productivo y social de un país. Uno de los principales componentes de estos sistemas son los transformadores de potencia que permiten la exportación de energía en alta tensión a grandes distancias. La falla de un transformador de potencia puede conllevar el colapso parcial o total de un sistema eléctrico. Existen diversas técnicas para el mantenimiento y diagnóstico de dichos equipos. En este trabajo se realiza una revisión crítica de ocho de las principales técnicas de diagnóstico de transformadores de potencia incluyendo una descripción básica y evolución histórica, teniendo en cuenta que actualmente son aplicadas en línea o que tienen un alto potencial para llegar a serlo. Palabras clave: Técnicas de diagnóstico en línea, monitoreo, transformadores de potencia, revisión crítica.

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Section: Análisis De Respuesta En Frecuencia (Fra)unclassified

Técnicas para el diagnóstico de transformadores de potencia: Una revisión crítica

Henao

Fernández

Gómez

2020

Ingeniare. Rev. chil. ing.

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“…The specific number of turns is shown in Table 1. 10 . The voltage of the two windings is 220/95 V and the rated capacity is 2 kVA.…”

Section: Winding Deformation Detectionmentioning

confidence: 99%

“…The former method is based on the vibration signal and needs extra sensors [5][6]. The latter uses the frequency response or leakage inductance characteristics to detect winding deformation [7][8][9][10][11][12][13][14]. The frequency response analysis method is offline and the method based on the leakage inductance can be realized online, therefore the method based on the leakage inductance should be paid more attention to.…”

Section: Introductionmentioning

confidence: 99%

A transformer winding deformation detection method based on the analysis of leakage inductance changes

Li¹,

Tao²,

Wei³

et al. 2015

Archives of Electrical Engineering

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Abstract:The detection of transformer winding deformation caused by short-circuit current is of great significance to the realization of condition based maintenance. Considering the influence of environment and measurement errors, an online deformation detection method is proposed based on the analysis of leakage inductance changes. First, the operation expressions are derived on the basis of the equivalent circuit and the leakage inductance parameters are identified by the partial least squares regression algorithm. Second, the amount of the leakage inductance samples in a detection time window is determined using the Monte Carlo simulation thought, and then the samples in the confidence interval are obtained. Last, a criteria is built by the mean value changes of the leakage inductance samples and the winding deformation is detected. The online detection method considers the random fluctuation characteristics of the leakage inductance samples, adjust the threshold value automatically, and can quantify the change range to assess the severity. Based on the field data, the distribution of the leakage inductance samples is analyzed to obey the normal function approximately. Three deformation experiments are done by different sub-winding connections and the detection results verify the effectiveness of the proposed method.

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“…In order to achieve the goal mentioned above, an enormous variety of approaches have been proposed to accurately evaluate the health status of transformer life, from transformer condition assessment and maintenance, transformer reliability analysis, to fault diagnosis. In the past years, on one hand, plenty of elegant methods have been put forwarded for condition assessment of transformer, such as evidential reasoning [4], association rule and variable weight coefficients [6], genetic-based neural networks (GNN), statistical learning technique [7], fuzzy logic [8], sweep frequency response analysis (SFRA) [9], and modern machine learning techniques [10,11]. These methods can help predictive maintenance programmes to offer a low cost and highly flexible solution for fault prediction [10].…”

Section: Introductionmentioning

confidence: 99%

Hot Spot Temperature and Grey Target Theory-Based Dynamic Modelling for Reliability Assessment of Transformer Oil-Paper Insulation Systems: A Practical Case Study

Cheng

Wang³

et al. 2018

Energies

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This paper develops a novel dynamic correction method for the reliability assessment of large oil-immersed power transformers. First, with the transformer oil-paper insulation system (TOPIS) as the target of evaluation and the winding hot spot temperature (HST) as the core point, an HST-based static ageing failure model is built according to the Weibull distribution and Arrhenius reaction law, in order to describe the transformer ageing process and calculate the winding HST for obtaining the failure rate and life expectancy of TOPIS. A grey target theory based dynamic correction model is then developed, combined with the data of Dissolved Gas Analysis (DGA) in power transformer oil, in order to dynamically modify the life expectancy calculated by the built static model, such that the corresponding relationship between the state grade and life expectancy correction coefficient of TOPIS can be built. Furthermore, the life expectancy loss recovery factor is introduced to correct the life expectancy of TOPIS again. Lastly, a practical case study of an operating transformer has been undertaken, in which the failure rate curve after introducing dynamic corrections can be obtained for the reliability assessment of this transformer. The curve shows a better ability of tracking the actual reliability level of transformer, thus verifying the validity of the proposed method and providing a new way for transformer reliability assessment. This contribution presents a novel model for the reliability assessment of TOPIS, in which the DGA data, as a source of information for the dynamic correction, is processed based on the grey target theory, thus the internal faults of power transformer can be diagnosed accurately as well as its life expectancy updated in time, ensuring that the dynamic assessment values can commendably track and reflect the actual operation state of the power transformers.

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Review of Sweep Frequency Response Analysis -SFRA for Assessment Winding Displacements and Deformation in Power Transformers

Cited by 7 publications

References 30 publications

Técnicas para el diagnóstico de transformadores de potencia: Una revisión crítica

Técnicas para el diagnóstico de transformadores de potencia: Una revisión crítica

A transformer winding deformation detection method based on the analysis of leakage inductance changes

Hot Spot Temperature and Grey Target Theory-Based Dynamic Modelling for Reliability Assessment of Transformer Oil-Paper Insulation Systems: A Practical Case Study

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