Fault Detection in Various Structures Using Different Methodologies: a Review

نویسندگان

  • Dayal R Parhi
  • Irshad A Khan
چکیده

This paper provides an overview to detect, locate, and characterize fault in structural and mechanical systems using various methods. Since last few decades experimentally measured frequencies has been extensively used to crack detection. The relationships between frequency changes and structural damage are discussed. Various reverse techniques proposed for detecting fault using natural frequencies are reviewed. Reverse techniques mainly used to fault detection are: fuzzy logic, neural network, genetic algorithm, hybrid neuro genetic algorithm. Keyword: fuzzy logic, neural network, genetic algorithm, fault detection

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تاریخ انتشار 2012