Published November 6, 2008
| Version v1
Journal article
The Neural Network Method of Corrosion Diagnosis for Grounding Grid
Creators
- 1. School of Science, Shaanxi University of Sci. and Tech., Xi'an, 710021 (China)
- 2. School of Science, Guilin University of Electronic Tech., Guilin, 541004 (China)
- 3. School of Science, Xi'an Jiaotong University, Xi'an, 710049 (China)
Description
Safety of persons, protection of equipment and continuity of power supply are the main objectives of the grounding system of a large electrical installation. For its accurate working status, it is essential to determine every branch resistance in the system. In this paper, we present a neural network method of corrosion diagnosis for the grounding grid based on the neural network theory. The feasibility of this method is discussed by means of its application to a simulant grounding grid.
Additional details
Identifiers
- DOI
- 10.1063/1.3037092;
Publishing Information
- Journal Title
- AIP Conference Proceedings
- Journal Volume
- 1060
- Journal Issue
- 1
- Journal Page Range
- p. 353-356
- ISSN
- 0094-243X
- CODEN
- APCPCS
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41003108
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- CORROSION; DIAGNOSIS; GRIDS; NEURAL NETWORKS; PARTICLE BEAMS; SAFETY
- Descriptors DEC
- BEAMS; CHEMICAL REACTIONS; ELECTRODES
Optional Information
- Notes
- (c) 2008 American Institute of Physics; IeCCS 2007: International electronic conference on computer science, 28 June - 8 July 2007