Book ChapterDOI
Impulse Fault Detection and Classification in Power Transformers with Wavelet and Fuzzy Based Technique
N. Vanamadevi,S. Santhi +1 more
- pp 261-273
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TLDR
A technique for the detection and classification of impulse faults in a transformer winding using wavelet transform and a fuzzy Inference system is derived and it is observed that the results are satisfactory.Abstract:
Impulse testing of transformers after assembly is a routine procedure carried out for the assessment of their winding insulation. During impulse test insulation failure may result in two classes of winding faults in a transformer namely series faults and shunt faults. Series faults are due to the short between turns in the section and the shunt faults are due to the short between turns in the section and the ground. This paper aims at deriving a technique for the detection and classification of impulse faults in a transformer winding using wavelet transform and a fuzzy Inference system. A specially designed 6.6 kV model layer winding is considered for the study. The entire winding comprising ten sections are divided into three regions namely sections near line end, sections near the neutral end and the sections in the middle of the winding. The neutral currents are recorded with series faults and shunt faults introduced in the sections belonging to the three regions. Continuous wavelet transform is applied on these neutral current records to extract the discriminating features. The features extracted from the wavelet transformed signal are the second most predominant frequency, the time range at which it occurs and the corresponding wavelet coefficient. A fuzzy Inference system is designed and implemented using Matlab software with these three features extracted from the wavelet transformed signal as inputs and generates an output that classifies the fault and no fault conditions. It is observed that the results are satisfactory.read more
Citations
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Book ChapterDOI
Gabor Transform for the Time–Frequency Localization of Impulse Faults in a Transformer
TL;DR: The application of Gabor transform is proposed to determine the time of occurrence of impulse faults that are likely to occur in a transformer winding through a simulation work and validate its candidature as superior to Fourier analysis.
FPGA Realization of Transformer Impulse Fault Classification Scheme based on DWT and LVQ Neural Network
TL;DR: This work is dedicated to detection and classification of such faults based on a simulation study conducted on the lumped parameter model of a specially designed 6.6kV voltage transformer winding.
Book ChapterDOI
Lecture Notes in Computer Science: S Transform for the Analysis of Impulse Faults in Transformer
TL;DR: This paper demonstrates the application of Stockwell transform for the detection and analysis of impulse faults in transformers and pave way to develop an automated impulse fault classification system.
References
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Journal ArticleDOI
Generating fuzzy rules by learning from examples
Li-Xin Wang,Jerry M. Mendel +1 more
TL;DR: The mapping is proved to be capable of approximating any real continuous function on a compact set to arbitrary accuracy and applications to truck backer-upper control and time series prediction problems are presented.
Book
Signal Analysis: Time, Frequency, Scale and Structure
Ronald L. Allen,Duncan W. Mills +1 more
TL;DR: This chapter discusses Signals: Analog, Discrete, and Digital, which is concerned with systems defined by Difference Equations, and its applications, including LTI Systems, Impulse Response, and Convolution.
Journal ArticleDOI
Combined fuzzy-logic wavelet-based fault classification technique for power system relaying
TL;DR: Results indicate that this approach can be used as an effective tool for high-speed digital relaying, as the correct detection is achieved in less than half a cycle and that computational burden is much simpler than the recently postulated fault classification techniques.
Journal ArticleDOI
Monitoring of power transformers using the transfer function method
Thomas Leibfried,K. Feser +1 more
TL;DR: The transfer function concept is well known as an additional method of evaluating the impulse test of power transformers in the test laboratory and another application for this method is monitoring of power transformer in service as discussed by the authors.
Journal ArticleDOI
Impulse testing of power transformers using the transfer function method
Ryszard Malewski,B. Poulin +1 more
TL;DR: In this article, the transfer function of a transformer winding is deconvoluted in the frequency domain from the digitally recorded neutral current and high voltage applied during impulse tests, and the integrity of the winding insulation is determined by comparing the transferred function obtained at full and reduced test voltage.