Journal ArticleDOI
A Decision Tree-Based Method for Fault Classification in Double-Circuit Transmission Lines
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TLDR
In this article, a fault classification method for double-circuit transmission lines is presented, which requires voltages and currents of only one side of the protected line to be measured.Abstract:
In this paper, a novel method for fault classification of double-circuit transmission lines is presented. The proposed method needs voltages and currents of only one side of the protected line. After detecting the exact time of fault inception and calculating the odd harmonics of the measured signals, up to the nineteenth, a decision tree algorithm has been employed for recognition of the intercircuit fault type. Also, the proposed method is extended for classification of crossover faults in these transmission lines. Simulation results have shown that the proposed method can classify the faults in less than a quarter of a cycle with the highest possible accuracy.read more
Citations
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Journal ArticleDOI
Fault detection, classification and location for transmission lines and distribution systems: a review on the methods
TL;DR: A comprehensive review on the methods used for fault detection, classification and location in transmission lines and distribution systems is presented in this article, where fault detection techniques are discussed on the basis of feature extraction.
Journal ArticleDOI
Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder
Kunjin Chen,Jun Hu,Jinliang He +2 more
TL;DR: A novel method for fault detection and classification in power transmission lines based on convolutional sparse autoencoder that is fast and accurate in detecting and classifying faults, and is practical for online transmission line protection for its high robustness and generalizability.
Journal ArticleDOI
Enhancing the performance of transmission line directional relaying, fault classification and fault location schemes using fuzzy inference system
Anamika Yadav,Aleena Swetapadma +1 more
TL;DR: In this paper, three separate fuzzy inference systems are designed for complete protection scheme for transmission line, which is able to accurately detect the fault (both forward and reverse), locate and also identify the faulty phase(s) involved in all ten types of shunt faults that may occur in a transmission line under different fault inception angle, fault resistances and fault location.
Journal ArticleDOI
A review on fault classification methodologies in power transmission systems: Part—I
TL;DR: A review on fault classification methodologies in power transmission systems can be found in this article, where the authors discussed the advanced technologies developed by various researchers for fault classification in P2P systems.
Journal ArticleDOI
A systematic fuzzy rule based approach for fault classification in transmission lines
TL;DR: A systematic fuzzy rule base is developed for fault classification in transmission line using a systematic fuzzyRule based approach, reducing the redundancies and complexities involved compared to Heuristic fuzzy rule-based approach.
References
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The WEKA data mining software: an update
TL;DR: This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003.
Journal ArticleDOI
Fault detection and classification in transmission lines based on wavelet transform and ANN
TL;DR: In this article, the fault detection and its clearing time are determined based on a set of rules obtained from the current waveform analysis in time and wavelet domains, which is able to single out faults from other power quality disturbances, such as voltage sags and oscillatory transients, which are common in power systems operation.
Journal ArticleDOI
Neural network approach to fault classification for high speed protective relaying
T. Dalstein,B. Kulicke +1 more
TL;DR: A new approach to fault classification for high speed protective relaying based on the use of neural network architecture and implementation of digital signal processing concepts is presented and its effectiveness in computer simulations on parallel transmission lines is shown.
Journal ArticleDOI
Decision tree-based methodology for high impedance fault detection
Yong Sheng,S.M. Rovnyak +1 more
TL;DR: In this article, a decision tree (DT) is used to detect high impedance fault (HIF) detection using current signals sampled at 1920 Hz in the simulation of EMTP.
Journal ArticleDOI
Fuzzy-logic-based fault classification scheme for digital distance protection
Biswarup Das,J.V. Reddy +1 more
TL;DR: In this paper, a fuzzy-logic-based algorithm to identify the type of faults for digital distance protection system has been developed, which is able to accurately identify the phase(s) involved in all ten types of shunt faults that may occur in a transmission line under different fault resistances, inception angle, and loading levels.
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