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Application of Neural Network to Determine the Source Location in Acoustic Emission
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  • Application of Neural Network to Determine the Source Location in Acoustic Emission
  • Application of Neural Network to Determine the Source Location in Acoustic Emission
저자명
Lee. Sang-Eun
간행물명
비파괴검사학회지
권/호정보
2005년|25권 6호|pp.475-482 (8 pages)
발행정보
한국비파괴검사학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

The iterative calculation by least square method was used to determine the source location of acoustic emission in rock, as so called "traditional method". The results were compared with source coordinates infered from the application of neural network system for new input data, as so called "new method". Input data of the neural network were based on the time differences of longitudinal waves arrived from acoustic emission events at each transducer, the variation of longitudinal velocities at each stress level, and the coordinates of transducer as in the traditional method. The momentum back propagation neural network system adopted to determine source location, which consists of three layers, and has twenty-seven input processing elements. Applicability of the new method were identified, since the results of source location by the application of two methods were similarly concordant.