Genetic Programming based Fuzzy Mapping Function Model for fault diagnosis of power transformers

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@InProceedings{Zhang:2008:WCICA,
  author =       "Zheng Zhang and Kangling Fang and Weihua Huang",
  title =        "Genetic Programming based Fuzzy Mapping Function Model
                 for fault diagnosis of power transformers",
  booktitle =    "7th World Congress on Intelligent Control and
                 Automation, WCICA 2008",
  year =         "2008",
  month =        "25-27 " # jun,
  address =      "Chongqing, China",
  pages =        "1184--1187",
  keywords =     "genetic algorithms, genetic programming, fault
                 diagnosis, fuzzy IEC code method, genetic operations,
                 genetic programming based fuzzy mapping functions,
                 insulation fault diagnosis system, power systems, power
                 transformers, tree-like combinations, fault diagnosis,
                 fuzzy set theory, power transformer insulation",
  DOI =          "doi:10.1109/WCICA.2008.4593092",
  abstract =     "A genetic programming based fuzzy mapping functions
                 (GPFMF) model is proposed in this paper to diagnose the
                 insulation fault types of power transformers. The
                 proposed GPFMF model constructs the fuzzy relationship
                 between input and output fuzzy variables by genetic
                 programming algorithms. The fuzzy relationship is
                 represented as one of candidates which have the form of
                 tree-like combinations of series of fuzzy implication
                 operators with fuzzy input variables. Then the best
                 fuzzy mapping function is evolved by genetic operations
                 and evolution. Based on the proposed GPFMF model, an
                 insulation fault diagnosis system for power systems is
                 designed to detect the insulation fault types of power
                 transformers. Compared with the normal fuzzy IEC code
                 method, the GPFMF models can generate fuzzy mapping
                 functions from fuzzy input and output examples and has
                 higher performance than normal fuzzy method.",
  notes =        "Also known as \cite{4593092}",
}

Genetic Programming entries for Zheng Zhang Kangling Fang Weihua Huang

Citations