Fuzzy logic based on-line fault detection and classification in transmission line
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The result shows that proposed technique is capable of right tripping action and classification of type of fault at high speed therefore can be employed in practical application.Abstract:
This study presents fuzzy logic based online fault detection and classification of transmission line using Programmable Automation and Control technology based National Instrument Compact Reconfigurable i/o (CRIO) devices. The LabVIEW software combined with CRIO can perform real time data acquisition of transmission line. When fault occurs in the system current waveforms are distorted due to transients and their pattern changes according to the type of fault in the system. The three phase alternating current, zero sequence and positive sequence current data generated by LabVIEW through CRIO-9067 are processed directly for relaying. The result shows that proposed technique is capable of right tripping action and classification of type of fault at high speed therefore can be employed in practical application.read more
Citations
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An Intelligent Approach of Fault Classification and Localization of a Power Transmission Line
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References
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Fuzzy logic systems for engineering: a tutorial
TL;DR: After synthesizing a FLS, it is demonstrated that it can be expressed mathematically as a linear combination of fuzzy basis functions, and is a nonlinear universal function approximator, a property that it shares with feedforward neural networks.
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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.
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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.
Journal ArticleDOI
Fuzzy-neuro approach to fault classification for transmission line protection
Huisheng Wang,W.W.L. Keerthipala +1 more
TL;DR: This approach to real-time fault detection and classification in power transmission systems by using fuzzy-neuro techniques can be used as an effective tool for high speed digital relaying, as the correct detection is achieved in less than 10 ms.
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Application of RBF neural network to fault classification and location in transmission lines
R.N. Mahanty,Preeti Gupta +1 more
TL;DR: In this article, the application of radial basis function (RBF) neural networks for fault classification and location in transmission lines is presented, where instantaneous current/voltage samples have been used as inputs to artificial neural networks (ANNs).
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