Identification of crack profiles using genetic programming and fuzzy inference

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Fumio Kojima and Naoyuki Kubota and Setsuo Hashimoto",
  title =        "Identification of crack profiles using genetic
                 programming and fuzzy inference",
  journal =      "Journal of Materials Processing Technology",
  volume =       "108",
  pages =        "263--267",
  year =         "2001",
  number =       "2",
  month =        "4 " # jan,
  keywords =     "genetic algorithms, genetic programming, Fuzzy
                 inference, Eddy current",
  ISSN =         "0924-0136",
  DOI =          "doi:10.1016/S0924-0136(00)00767-6",
  URL =          "",
  abstract =     "This paper deals with a quantitative nondestructive
                 evaluation in eddy current testing for steam generator
                 tubes of nuclear power plants by using genetic
                 programming (GP) and fuzzy inference system. Defects
                 can be detected as a probe impedance trajectory by
                 scanning a pancake type probe coil. An inference system
                 is proposed for identifying the defect shape inside
                 and/or outside tubes. GP is applied to extract and
                 select effective features from a probe impedance
                 trajectory. Using the extracted features, a fuzzy
                 inference system detects presence, position, and size
                 of a defect of test sample. The effectiveness of the
                 proposed method is demonstrated through computer
                 simulation studies.",

Genetic Programming entries for Fumio Kojima Naoyuki Kubota Setsuo Hashimoto