Soft Computing Approach to Crack Detection and FPGA Implementation

Abstract

Considerable interest has existed in the literature for a long time in support of real-time crack detection Non-Destructive Techniques (NDT) in a variety of applications. Various authors [1, 15, 16, and 17] have suggested different approaches in finding a solution to this problem. In this paper we suggest a Soft Computing approach using Fuzzy Logic as an effective method to take up this problem. It is also desirable to develop chip which can be used for detection of crack. The objective of this paper is to report on efforts to develop an automated procedure to detect the crack and to devise technique so that the proposed method can be easily implemented on a chip. The Fuzzy Inference System developed is supported by the rule base. A Very Large Scale Integration (VLSI) circuit for the detection of crack is developed on the basis of the Fuzzy Logic Model using a Hardware Description Language (HDL). Field-Programmable Gate Array (FPGA) implementation and testing of this circuit is done.

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Document Details

Document Type
Technical Report
Publication Date
Oct 21, 2010
Accession Number
ADA570058

Entities

People

  • Arati M. Dixit
  • Harpreet Singh
  • Thomas Meitzler

Organizations

  • Wayne State University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Armor Plate
  • Artificial Intelligence
  • Circuits
  • Computers
  • Field Programmable Gate Arrays
  • Frequency
  • Fuzzy Logic
  • Fuzzy Sets
  • Language
  • Large Scale Integration
  • Logic
  • Mobile Devices
  • Reasoning
  • Set Theory
  • Simulations
  • United States Government
  • Very Large Scale Integration

Fields of Study

  • Engineering

Readers

  • Integrated Circuit Design and Technology.
  • Structural Health Monitoring of Composite Structures.
  • Systems Analysis and Design

Technology Areas

  • AI & ML