Neural networks for power systems alarm handlingBall, N. R., Kiernan, L. A., Warwick, K., Cahill, E., Esp, D. and Macqueen, J. (1992) Neural networks for power systems alarm handling. Neurocomputing, 4 (1-2). pp. 5-8. ISSN 0925-2312 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/0925-2312(92)90038-Q Abstract/SummaryA multi-layered architecture of self-organizing neural networks is being developed as part of an intelligent alarm processor to analyse a stream of power grid fault messages and provide a suggested diagnosis of the fault location. Feedback concerning the accuracy of the diagnosis is provided by an object-oriented grid simulator which acts as an external supervisor to the learning system. The utilization of artificial neural networks within this environment should result in a powerful generic alarm processor which will not require extensive training by a human expert to produce accurate results.
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