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Srinivasan, D., Cheub, R.L., Poh, Y.P. and Ng, A.K.C. (2000) Auto-mated Fault Detection in Power Distribution Networks Using a Hybrid Fuzzy-Genetic Algorithm Approach. Engineer-ing Applications of Articial Intelligence, 13, 407- 418. http://www.sciencedirect.com/science/article/pii/S0952197600000129

has been cited by the following article:

• TITLE: Fault Diagnosis Technology Based on Model Driven

  AUTHORS: Xie Zhang, Zufeng Xu, Jun Wu

  KEYWORDS: Fault Diagnosis, Model Driven, Fault Logic Description Language

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.3 No.3C, October 23, 2015

  ABSTRACT: Fault diagnosis is an important application of the power grids monitoring system. Under the situation of continuous development of smart grid, it brings new challenges to the fault diagnosis technology. A fault diagnosis expert system based on model driven approach is proposed in this paper. And the corresponding fault modeling technology based on Fault Logic Description Language (FLDL) is described step by step. Practices show that this system could meet the requirements of processing fault alarm information rapidly and reliably by operator.