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- W2189589029 abstract "This paper presents a new neural network- based transmission cable fault locator module. Different faults on a protected cable should be located correctly. The proposed module uses samples of voltage and current signals to learn the hidden relationship existing in the input patterns. The scheme is insensitive to fault type, fault resistance, fault inception angle and system source configuration. Details of the design procedure and the results of performance studies with the proposed Fault locator are given in the paper. Performance studies results show that the proposed algorithm is accurate. (3- lo). In this paper an ANN-based approach is used and a very accurate fault locator is designed. Application of the proposed algorithm reduces the effect of system variables such as fault resistance, fault type, fault inception angle and decaying dc offset. It is shown that the proposed module is able to accurately distinguish cable faults different system conditions. The proposed algorithm is tested to evaluate its performance in terms of accuracy and robustness. Some of the test results are included in the paper." @default.
- W2189589029 created "2016-06-24" @default.
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- W2189589029 date "2004-01-01" @default.
- W2189589029 modified "2023-09-27" @default.
- W2189589029 title "An Accurate Fault Locator for Cable Transmission Using ANN" @default.
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