Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers

Bagheri, Mehdi; Naderi, Mohammad Salay; Blackburn, T.R.; Phung, B.T.

doi:10.1109/mei.2013.6507412

Cited by 143 publications

(49 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They are widely described in the literature [9,[14][15][16][17][18][19][20][21][22], therefore only basic information of their application have been presented in Table 1. Formulas that are designed for assessment in one test setup only, e.g., from Chinese standard DL/T911-2004, which is to be used in end-to-end test setup, have been omitted.…”

Section: Fra Measurements and Results Interpretationmentioning

confidence: 99%

Cross Test Comparison in Transformer Windings Frequency Response Analysis

Banaszak

Szoka

2018

Energies

View full text Add to dashboard Cite

Frequency Response Analysis (FRA) is an important tool used for diagnostic measurements of power transformers. Standard test configuration applied in the industry is the end-to-end open test setup; however, an interwinding capacitive configuration is also used. This paper presents a method-Cross Test Comparison (CTC)-for simultaneous analysis of results coming from both the mentioned test setups. Such an approach could offer a more sensitive tool for detecting some faults; moreover, it takes into consideration the influence of both voltage sides of a transformer in a one test result. The authors have used several indices to quantitatively assess the test results and proposed new approach to data interpretation. CTC method was tested using data from measurements performed in three cases: a unit tested in laboratory with introduced controlled deformations; transformers measured under industrial conditions; and a transformer with FRA changes resulting from tap-changer operations. The results showed that CTC method is more effective at detecting faults on the basis of FRA measurements.

show abstract

Section: Fra Measurements and Results Interpretationmentioning

confidence: 99%

Cross Test Comparison in Transformer Windings Frequency Response Analysis

Banaszak

Szoka

2018

Energies

View full text Add to dashboard Cite

show abstract

“…For the SVM, the common kernel function includes polynomial, radial basis function (RBF), Sigmoid function and B-Spline, et al [34]. Vapnik believes that different kernel function has little impact on the performance of SVM [35], the most frequently used RBF has been chosen as the kernel function, and its function is expressed in Equation (8).…”

Section: Construction Of Training Set and Testing Setmentioning

confidence: 99%

“…Frequency response analysis (FRA), firstly introduced by Dick and Erven [7], has been developed as a widely accepted tool for the last decades, due to its reliable, fast, economic, and non-destructive features [8]. The transformer winding is proven to be equivalent of an electrical network consisting in [26].…”

Section: Introductionmentioning

confidence: 99%

Identification of Power Transformer Winding Mechanical Fault Types Based on Online IFRA by Support Vector Machine

et al. 2017

View full text Add to dashboard Cite

Abstract:A transformer is the most valuable and expensive property for power utility, thus ensuring its reliable operation is a major task for both operators and researchers. Online impulse frequency response analysis has proven to be a promising technique for detecting transformer internal winding mechanical deformation faults when a power transformer is in service. However, as so far, there is still no reliable standard code for frequency response signature interpretation and quantification. This paper tries to utilize a machine learning method, namely the support vector machine, to identify and classify the winding mechanical fault types, based on online impulse frequency response analysis. Actual transformer fault data from a specially manufactured model transformer are collected and analyzed. Two feature vectors are proposed and the diagnostic results are predicted. The diagnostic results indicate the satisfied classifying accuracy by the proposed method.

show abstract

“…Thus, the objective function is minimized according to the equations (20)(21)(22)(23)(24)(25). The weight (inverse of covariance) for each measurement is set based on the reliability of the measurement, which is related to the magnitude of the cross correlation peak [22].…”

Section: Application To Model Under Study and Algorithm Stepsmentioning

confidence: 99%

“…On the other hand, loss of large loads or DG disconnects can be considered a critical change. The equivalent impedance of the MV transformer and upstream grid is chosen according to [24], a resistive-inductive model is used for the substation transformer, since capacitive effects and leakage inductance a relative small compared to the magnetizing inductance in the studied frequency range [25].…”

Section: Dg1 Dg2 Dg3mentioning

confidence: 99%