• DocumentCode
    1785406
  • Title

    Automatic design of fuzzy MF using Genetic Algorithm for fault detection in structural elements

  • Author

    Sahu, Suranjika ; Parhi, Dayal R.

  • Author_Institution
    Dept. of Mech. Eng., Nat. Inst. of Technol., Rourkela, India
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Damage in a structural element may occur due to normal operations, accidents, deterioration or severe natural events such as earthquakes or storms. The effects of common damage on a structure are changes in natural frequencies, mode shapes and structural damping. Most often the extent and location of damage may be determined through visual inspection. But this is a time consuming and erroneous method. Since the measurement of natural frequencies easier than that of changes in structural damping, damage can be detected from dynamic analysis using natural frequencies. In this paper a combination of fuzzy logic and Genetic Algorithm has been used to find out crack location. The first three natural frequencies of the cracked structural element are taken as the, three independent input variables. Here membership functions are optimized by using genetic algorithm or we can say membership functions are automatically generated by using genetic algorithm.
  • Keywords
    beams (structures); cantilevers; cracks; damping; design engineering; fault diagnosis; fuzzy set theory; genetic algorithms; inspection; structural engineering; cantilever beam; crack location; fault detection; fuzzy MF design; fuzzy logic; genetic algorithm; membership functions; mode shapes; natural frequencies; structural damping; structural elements; structure damage; visual inspection; Biological cells; Finite element analysis; Fuzzy logic; Fuzzy systems; Genetic algorithms; Structural beams; Vibrations; cantilever beam; fuzzy logic; genetic algorithm; natural frequencies; vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Systems (SCES), 2014 Students Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4799-4940-3
  • Type

    conf

  • DOI
    10.1109/SCES.2014.6880069
  • Filename
    6880069