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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

The Fault Location Method Research of Three-Layer Network System

Author 1: Hu Shaolin Author 2: Li ye Author 3: Karl Meinke
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 1, No. 6 · Published 2012

DOI: 10.14569/IJARAI.2012.010605

Abstract

The fault location technology research of three-layer network system structure dynamic has important theoretic value and apparent engineering application value on exploring the fault detection and localization of the complex structure dynamic system. In this article, the method of failure propagation and adverse inference are adopted, the fault location algorithm of the three-layer structure dynamic network system is established on the basis of the concept of association matrix and the calculating method are proposed, and the simulation calculation confirmed the reliability of this paper. The results of the research can be used for the fault diagnosis of the hierarchical control system?testing of the engineering software and the analysis of the failure effects of layered network of all kinds and other different fields.

Keywords

How to Cite this Article

Shaolin, H., ye, L., & Meinke, K. (2012). The Fault Location Method Research of Three-Layer Network System. International Journal of Advanced Research in Artificial Intelligence, 1(6). https://doi.org/10.14569/IJARAI.2012.010605

Shaolin, Hu, et al.. "The Fault Location Method Research of Three-Layer Network System." International Journal of Advanced Research in Artificial Intelligence, vol. 1, no. 6, 2012, https://doi.org/10.14569/IJARAI.2012.010605.

@article{Shaolin2012,
  title     = {The Fault Location Method Research of Three-Layer Network System},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {1},
  number    = {6},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Hu Shaolin and Li ye and Karl Meinke},
  doi       = {10.14569/IJARAI.2012.010605},
  url       = {https://doi.org/10.14569/IJARAI.2012.010605}
}

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