Journal ArticleDOI
Estimation of time-to-flashover characteristics of contaminated electrolytic surfaces using a neural netlwork
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TLDR
In this article, the prerequisite trainiing data are obtained from experimental studies performed on a flat plate model for a polluted insulator under power frequency voltage, and the effect of the presence of inadequate data in the training set on modeling accuracy is assessed.Abstract:
A major field of neural networks (NN) application is function estimation, because the useful properties of NN such as adaptivity and nonlinearity are well suited to function estimation tasks where the equation describing the function is unknown. In this paper the prerequisite trainiing data are obtained from experimental studies performed on a flat plate model for a polluted insulator under power frequency voltage. Detailed studies have been carried to deterimine the NN parameters which give the best results. Studies have also been carried out to assess the effect of the presence of inadequate data in the training set on modeling accuracy. It is found that, when training is completed, NN is capable of estimating the function t = f(V,L,p) very efficiently and effectively even when the inadequate data are incorporateld in the training set.read more
Citations
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Prediction of flashover voltage of insulators using least squares support vector machines
Muhsin Tunay Gencoglu,Murat Uyar +1 more
TL;DR: A dynamic model of AC flashover voltages of the polluted insulators is constructed using the least square support vector machine (LS-SVM) regression method and it can be concluded that the performance of LS- SVM model outperforms those of ANN, for the data set available, which indicates that the LS-S VM model has better generalization ability.
Journal ArticleDOI
Assessment of ESDD on high-voltage insulators using artificial neural network
TL;DR: In this article, a new approach using ANN as a function estimator has been developed and used to model accurately the relationship between ESDD with temperature (T), humidity (H), pressure (P), rainfall (R), and wind velocity (WV).
Journal ArticleDOI
Odd harmonics and third to fifth harmonic ratios of leakage currents as diagnostic tools to study the ageing of glass insulators
Nouruddeen Bashir,Hussein Ahmad +1 more
TL;DR: In this article, the leakage current harmonic components of 45 glass insulator samples were investigated and the results indicated that the insulator sample's leakage current waveform and the total harmonic distortion correspond well with degree of ageing.
Journal ArticleDOI
Design of an artificial neural network for the estimation of the flashover voltage on insulators
V. T. Kontargyri,A. A. Gialketsi,George J. Tsekouras,Ioannis F. Gonos,Ioannis A. Stathopulos +4 more
TL;DR: In this article, an artificial neural network was applied to estimate the critical flashover voltage on polluted insulators, using the following characteristics of the insulator: diameter, height, creepage distance, form factor and equivalent salt deposit density.
Journal ArticleDOI
Evaluating the safety condition of porcelain insulators by the time and frequency characteristics of LC based on artificial pollution tests
TL;DR: In this paper, an artificial neutral network (ANN) based method was developed to evaluate the safety condition of polluted insulators more effectively, in order to combine well the time-domain with frequency-domain characteristics of leakage current.
References
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An introduction to computing with neural nets
TL;DR: This paper provides an introduction to the field of artificial neural nets by reviewing six important neural net models that can be used for pattern classification and exploring how some existing classification and clustering algorithms can be performed using simple neuron-like components.
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An introduction to computing with neural nets
TL;DR: This paper provides an introduction to the field of artificial neural nets by reviewing six important neural net models that can be used for pattern classification and exploring how some existing classification and clustering algorithms can be performed using simple neuron-like components.
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The 'neural' phonetic typewriter
TL;DR: A speaker-adaptive system that transcribes dictation using an unlimited vocabulary is presented that is based on a neural network processor for the recognition of phonetic units of speech.
Journal ArticleDOI
Short-term load forecasting using an artificial neural network
TL;DR: In this paper, an artificial neural network (ANN) method is applied to forecast the short-term load for a large power system, where the load has two distinct patterns: weekday and weekend-day patterns.
Journal ArticleDOI
Artificial neural-net based dynamic security assessment for electric power systems
Dejan J. Sobajic,Yoh-Han Pao +1 more
TL;DR: This work focuses on examination of that complex mapping and investigation of the influence of the various parameters on CCT, and on synthesizing such complex and transparent mappings.