Fuzzy risk index for power transformer failures due to external short-circuits

Flores, Wilfredo C.; Mombello, Enrique E.; Jardini, J.A.; Rattá, G.

doi:10.1016/j.epsr.2008.06.021

Cited by 34 publications

(14 citation statements)

References 3 publications

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“…Conducted tests results are shown in Table 1. In fuzzy system triangular membership function has been used [10,11]. Table 2 shows life of the transformer is evaluated in single stroke using developed fuzzy logic algorithm and obtained results have been compared with well established BDV test on transformer oil for breakdown strength.…”

Section: Resultsmentioning

confidence: 99%

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Intelligent Diagnostic Method for Ageing Analysis of Transformer

Kori¹,

Sharma²,

Bhadoriya³

2012

EPE

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The fuzzy method is proposed for ageing analysis of transformer. The fuzzy controller is used for various input and one output, strictly depends on the number of membership function and there rule base and the type of the defuzzification method. The ageing of transformers is influenced by short term and long term over loads, number and intensity of short circuits, incidence of lightning, and internal faults. The recent development of various techniques for detecting the incipient fault conditions have been improved to some extent; the life expectancy of transformers by resorting to corrective actions in time. The ageing behavior is likely to be different for different types of transformers. The life span of the transformer, thus depends initially on the design and quality of manufacture and later on service conditions and maintenance standard, these factors vary considerably and affect the useful span of service life which therefore needs to be taken into account for residual life assessment. During the natural ageing of transformers, the insulation of winding deteriorates. Cellulose insulation degrades due to heating or electrical breakdown which is dissolved in oil. Hence, the chemical analysis of the Transformer oil gives evidence of changes that are taking place in the winding insulation during operation. Deterioration in transformer cellulose decreases both its electrical and mechanical strength. In this paper a novel fuzzy based algorithm has been implemented on three samples of power transformer oil

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Section: Resultsmentioning

confidence: 99%

“…To estimate the age of a power transformer fuzzy logic based approach is useful [9]. Fuzzy system and neural network approach is used for analysis of transformer [10,11]. Section 2 describes required chemical and electrical tests have been performed on sampled oil for ageing analysis of power transformer.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Diagnostic Method for Ageing Analysis of Transformer

Kori¹,

Sharma²,

Bhadoriya³

2012

EPE

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“…The smart methods such as neural networks, genetic algorithm, and fuzzy logic are employed for this purpose [26][27][28][29]. Among these methods, artificial neural networks due to the simplicity of its application have been used widely in the literature [15,16,[27][28][29].…”

Section: Algorithms Based On Artificial Intelligence Methodsmentioning

confidence: 99%

A probabilistic neural network classifier-based method for transformer winding fault identification through its transfer function measurement

Bigdeli

Vakilian

Rahimpour³

2011

Int. Trans. Electr. Energ. Syst.

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SUMMARY In this paper, a new method is introduced for identification of transformer winding fault through transfer function analysis. For this analysis, vector fitting and probabilistic neural network are used. The results of transfer functions estimation through vector fitting are employed for training of neural network, and consequently, probabilistic neural network is used for classification of faults. The required data for fault type identification are obtained by measurements on two groups of transformers (one is a classic 20 kV transformer, and the other is a model transformer) under intact condition and under different fault conditions (axial displacement, radial deformation, disc space variation, and short circuit of winding). Comparing the results of this new method with the well‐known published work in the literature, the superior capabilities of this proposed method are demonstrated. Copyright © 2011 John Wiley & Sons, Ltd.

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“…To present some methodological aspects for implementing an interval type-2 fuzzy logic processor over a microcontroller Torres and Saez (2008) [28] Modelling of a robot hand To present a new application for robot hand identification using type-2 fuzzy intervals Melin (2008, 2003) [29,30] [22] presented a novel methodology to assess the risk of power transformer failures, due to external faults such as short circuits that caused the condition of the paper insulation. The methodology took into account the paper insulation condition and the stochastic nature of the fault.…”

Section: Applications In Manufacturing Operations and Industriesmentioning

confidence: 99%