Earticle

초록

영어

Non-destructive testing (NDT) techniques have been employed in all kinds of fields successfully for many years. Newly developed and applied NDT methods of detecting and monitoring fatigue crack in metal material are reviewed in this paper. Some methods based on machine vision technique and image recognition techniques are introduced for at or near surface visible crack testing. As a newborn offspring of acoustic emission technique, electromagnetically induced acoustic emission methods also introduced for both visible and invisible fatigue cracks on metal structure. Nonlinear ultrasonic method and some other NDT methods presently available are mentioned, too. The principles, applied testing fields, data processing algorithms, advantages and disadvantages of these methods are discussed.

목차

Abstract
 1. Introduction
 2. Machine Vision Method
  2.1. Principle
  2.2. Advantages and Disadvantages
 3. Electromagnetically Induced Acoustic Emission (EMAE)
  3.1. Principle
  3.2. Advantages and Disadvantages
 4. Nonlinear Ultrasonic Method
 5. Other NDT Methods for Fatigue Crack Monitoring
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Jingwei Dong [ School of Measure-Control Technology and Communication Engineering, Harbin University of Science and Technology, the higher educational key laboratory for Signal & Information Processing of Heilongjiang Province, Harbin, China ]
• Qijian Wu [ School of Measure-Control Technology and Communication Engineering, Harbin University of Science and Technology, the higher educational key laboratory for Signal & Information Processing of Heilongjiang Province, Harbin, China ]
• Wenwen Jiang [ School of Measure-Control Technology and Communication Engineering, Harbin University of Science and Technology, the higher educational key laboratory for Signal & Information Processing of Heilongjiang Province, Harbin, China ]
• Qi Xu [ School of Measure-Control Technology and Communication Engineering, Harbin University of Science and Technology, the higher educational key laboratory for Signal & Information Processing of Heilongjiang Province, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605