Identification of crack profiles using genetic programming and fuzzy inference

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Kojima:2001:MPT,

• 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 = "http://www.sciencedirect.com/science/article/B6TGJ-41WSC52-10/1/dab41d59bda7ac05c11a7560f11f27ba",
• 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

Citations