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논문 기본 정보

자료유형
학술저널
저자정보
Jackson Daniel (National Engineering College) A. Abudhahir (Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College) J. Janet Paulin (National Engineering College)
저널정보
한국자기학회 Journal of Magnetics Journal of Magnetics Vol.22 No.1
발행연도
2017.3
수록면
34 - 42 (9page)

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초록· 키워드

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Material defects in the Steam Generator Tubes (SGT) of sodium cooled fast breeder reactor (PFBR) can lead to leakage of water into sodium. The water and sodium reaction will lead to major accidents. Therefore, the examination of steam generator tubes for the early detection of defects is an important requirement for safety and economic considerations. In this work, the Magnetic Flux Leakage (MFL) based Non Destructive Testing (NDT) technique is used to perform the defect detection process. The rectangular notch defects on the outer surface of steam generator tubes are modeled using COMSOL multiphysics 4.3a software. The obtained MFL images are de-noised to improve the integrity of flaw related information. Grey Level Co-occurrence Matrix (GLCM) features are extracted from MFL images and taken as input parameter to train the neural network. A comparative study on characterization have been carried out using feed-forward back propagation (FFBP) and cascade-forward back propagation (CFBP) algorithms. The results of both algorithms are evaluated with Mean Square Error (MSE) as a prediction performance measure. The average percentage error for length, depth and width are also computed. The result shows that the feed-forward back propagation network model performs better in characterizing the defects.

목차

1. Introduction
2. Proposed Method
3. Results and Discussion
4. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2017-428-002313725