Ball, 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 doi: 10.1016/0925-2312(92)90038-Q
Abstract/Summary
A 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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| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/17881 |
| Item Type | Article |
| Refereed | Yes |
| Divisions | Science |
| Uncontrolled Keywords | alarm analysis, neural networks, power systems, computer control |
| Publisher | Elsevier |
| Download/View statistics | View download statistics for this item |
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