The Neural Network Method of Corrosion Diagnosis for Grounding Grid

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 networ...

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Bibliographic Details
Main Authors: Hou, Zai-En, Duan, Fu-Jian, Zhang, Ke-Cun
Format: Conference Proceeding
Language:English
Subjects:
CORROSION
DIAGNOSIS
GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
GRIDS
MATHEMATICAL METHODS AND COMPUTING
NEURAL NETWORKS
PARTICLE BEAMS
SAFETY
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Summary: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.3037092