대한전기학회논문지:전력기술부문A (The Transactions of the Korean Institute of Electrical Engineers A)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

초음파신호의 특징 파라메터 및 증거축적 방법을 이용한 콘크리트 강도 분류

Pattern Classification of the Strength of Concrete by Feature Parameters and Evidence Accumulation of Ultrasonic Signal

  • 발행 : 1999.10.01
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초록

This paper presents concrete pattern recognition method to identify the strength of concrete by evidence accumulation with multiple parameters based on artificial intelligence techniques. At first, zero-crossing(ZCR), mean frequency(MEANF), median frequency(MEDF) and autoregressive model coefficient(ARC) are extracted as feature parameters from ultrasonic signal of concrete. Pattern recognition is carried out through the evidence accumulation procedure using distance measured with reference parameters. A fuzzy mapping function is designed to transform the distances for the application of the evidence accumulation method. Results are presented to support the feasibility of the suggested approach for concrete pattern recognition.

키워드

참고문헌

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