Proceedings ArticleDOI
Fuzzy logic based impulse test analysis
S. Jayalalitha,V. Jayashankar +1 more
- pp 38-43
TLDR
A fusion of hard and soft computing is proposed for the impulse analysis problem, where the number of simulations can become unbounded to cater to all types of faults and lead to automation of impulse analysis function.Abstract:
A fusion of hard and soft computing is proposed for the impulse analysis problem. An optimal hardware platform for the data acquisition and a minimal set of simulations form the hard computing element. As the number of simulations can become unbounded to cater to all types of faults, a soft computing approach based on fuzzy logic is proposed. This can lead to automation of impulse analysis function.read more
Citations
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Journal ArticleDOI
Virtual Instrument for Lightning Impulse Tests
A. Palani,V. Jayashankar +1 more
TL;DR: In this paper, an objective formulation of the impulse analysis problem from a signal analysis viewpoint is proposed, where the winding response is quintessentially that of a deterministic network to a finite energy signal, with breakdown and partial discharge being inherently nonlinear events.
Journal ArticleDOI
Wavelet power ratio signature spectrum analysis for prediction of winding insulation defects in transformer and shunt reactor
TL;DR: In this paper, a wavelet power ratio signature spectrum analysis is proposed to identify the short duration of partial discharge (PD) pulses of 170 ns and 30 ns within windings due to impulse voltage excitation.
Journal ArticleDOI
Nonlinear Interpretation Technique for Lightning Impulse Test
TL;DR: In this paper, a nonlinear interpretation technique was proposed to detect the fault in transformer windings during the impulse test, which was applied to 90-MVA 220/110-kV, 250-mVA 500/275/33kV transformers and a 22kV interleaved winding.
Book ChapterDOI
Impulse Fault Detection and Classification in Power Transformers with Wavelet and Fuzzy Based Technique
N. Vanamadevi,S. Santhi +1 more
TL;DR: 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.
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
Fuzzy systems as universal approximators
TL;DR: An additive fuzzy system can uniformly approximate any real continuous function on a compact domain to any degree of accuracy.
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.
Journal ArticleDOI
Fusion of soft computing and hard computing in industrial applications: an overview
TL;DR: An overview of applications in which the fusion of soft computing and hard computing has provided innovative solutions for challenging real-world problems is presented.
Proceedings ArticleDOI
Identification and location of breakdown in windings
TL;DR: In this article, it is shown that the nearest neighbourhood rule based on a clustering approach provides a good framework for fault location. But it is not shown how to estimate the location of the fault based on the resonant frequencies of the winding current.
Proceedings ArticleDOI
Programmable continuous time filters for impulse testing of transformers
TL;DR: In this paper, an objective formulation of the impulse testing procedure is proposed based on models for winding response as well as fault models, and experimental validation of the fault models for breakdown and partial discharge is provided.