Soft Computing Approach to Crack Detection and FPGA Implementation

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 s...

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Bibliographic Details
Main Authors: Dixit, Arati M, Singh, Harpreet, Meitzler, Thomas
Format: Report
Language:English
Subjects:
CHIPS(ELECTRONICS)
CIRCUITS
CRACK DETECTION
CRACKS
FPGA(FIELD PROGRAMMABLE GATE ARRAY)
FUZZY LOGIC
HDL(HARDWARE DESCRIPTION LANGUAGE)
MAMDANI AND SUGENO METHODS
Mechanics
NEUROFUZZY LOGIC
NON-DESTRUCTIVE TECHNIQUES
NONDESTRUCTIVE TESTING
RULE BASED SYSTEMS
SOLUTIONS(GENERAL)
Statistics and Probability
VERY LARGE SCALE INTEGRATION
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Summary: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.