Neural net application to transmission line fault detection and classification /
areas of current research. Neural nets have some
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1994.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | areas of current research. Neural nets have some be complex, fault analysis is difficult to automate. can not be performed by human operators in a short circuit breakers under operation. In addition, Common practice in power utility companies, today, is compiled experience of a human expert. These systems computationally more effective because of their conceptualized as a pattern classification problem consuming. Also, data processing is usually too slow corresponding voltages and currents are recorded during data is made readily available at the occurrence of a detection and classification. Fault analysis is digital relays and fault recorders. Such systems are fault conditions. fault due to the use of advanced communication systems, fault hypotheses. 'These hypotheses are used as inputs for next level of rules. After completion of in power systems are various and relaying systems may inferencing process, conclusions are given. The intended to obtain data from contacts of the relays and judgment. Hence, fault analysis, as the first step of knowledge acquisition process is exhaustive and time need for detailed knowledge acquisition part, because Neural computing is one of the rapidly expanding neural nets learn by example. This thesis presents obvious advantages over expert systems. They are parallel processing capabilities. Also, there is no perform fault analysis by mapping fault indications to power Systems after a fault occurred requires quick prefault, fault and postfault periods. Restoration of representing the power system state to one or more restoration is very important. However, since faults results of a study on using the new neural net system rule-based system which embodies a portion of the system is strongly desired. Traditional approaches to that can perform both on-line and off-line fault the problem of analysis is to construct a heuristic, their knowledge about the power systems and experience time. Therefore, on-line automated fault analysis to be effectively applied in a real-time environment. to perform fault analysis by expert operators using Today, in electric power systems, a large amount of which involves the association of input patterns with complex fault situations, detailed fault analysis with past faults. Because of the time required to deal |
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| Item Description: | "Major subject: Electrical Engineering". Vita. |
| Physical Description: | xii, 127 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |