نتایج جستجو برای: magnetizing inrush current
تعداد نتایج: 777987 فیلتر نتایج به سال:
Recently, there has been an increased interest in the use of artificial neural networks various branches electric power industry including relay protection. Аrtificial are one fastest growing areas intelligence technology. аrtificial engineering, Existing microprocessor-based protection devices a traditional digital signal processing monitored signals which is reduced to multiplying values succ...
In general, the conventional techniques like loop impedance and nodal admittance methods are used to find the parameters of SEIG for finding performance under various conditions. In these approaches, long mathematical calculations are involved. With the recent development, ANN and fuzzy logic are used for finding various parameters for different values of machine parameters. By finding these pa...
For there are few samples of water inrush from coal floor, how to dig wider information under the circumstance of limited sample data is to improve the prediction accuracy of water inrush form coal floor. Therefore, prediction model of water inrush is established based on correlation analysis and support vector machine (SVM). Not only does the model simplify the influenced indexes to construct ...
Transformer inrush currents are high-magnitude, harmonic-rich currents generated when transformer cores are driven into saturation during energization. These currents have undesirable effects, including potential damage or loss-of-life to the transformer, protective relay misoperation, and reduced power quality on the system. Controlled transformer switching can potentially eliminate these tran...
This paper presents a new approach to power transformer differential protection based on HS-transform and SVM (support vector machine). Here, HS-transform is used to generate frequency contours from samples of differential current and parseval’s theorem is used to extract the features like energy and standard deviation. Subsequently these features are used as inputs to SVM for fault classificat...
Sudden water inrush has been a deadly killer in underground engineering for decades. Currently, especially in developing countries, frequent water inrush accidents still kill a large number of miners every year. In this study, an approach for predicting the probability of fault-induced water inrush in underground engineering using the adaptive neuro-fuzzy inference system (ANFIS) was developed....
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