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• W2994594103 abstract "� Abstract—This paper presents a wavelet transform and Support Vector Machine (SVM) based algorithm for estimating fault location on transmission lines. The Discrete wavelet transform (DWT) is used for data pre-processing and this data are used for training and testing SVM. Five types of mother wavelet are used for signal processing to identify a suitable wavelet family that is more appropriate for use in estimating fault location. The results demonstrated the ability of SVM to generalize the situation from the provided patterns and to accurately estimate the location of faults with varying fault resistance. CCURATE fault location on power transmission line is important for both protection and maintenance purposes. Conventional fault location methods use the fault steady state components of voltage and current measured at one or more points along the transmission line. The fault distance can be estimated from the measured impedance of the transmission line at the power system frequency. The impedance is assumed to be proportional to the fault distance. The impedance measurement used in distance protection schemes is too inaccurate for precise fault location as the error in the estimated fault location can be as high as 10% of line length. Fault location based on reactance is a well known technique that has been used to improve the estimation of fault location (1)-(3). The technique is based on linear relation between the reactance, estimated from the voltage and current of the fault, and the fault location. In most cases, the error in estimating the fault location using these techniques varies between 1% to 6%. The use of travelling waves to detect and locate faults on such line is another feasible alternatives (4)-(5). The schemes are all based on determining the time needed for a wave to travel between the local end and the fault location. However, travelling wave schemes have problems with faults close to the bus and faults with close-to-zero incidence angle. Algorithms based only on local terminal current and voltage data need some simplifying hypothesis to allow the fault distance" @default.
• W2994594103 created "2019-12-13" @default.
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• W2994594103 date "2010-03-26" @default.
• W2994594103 modified "2023-09-26" @default.
• W2994594103 title "Wavelet Transform and Support Vector Machine Approach for Fault Location in Power Transmission Line" @default.
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