한국정밀공학회지 (Journal of the Korean Society for Precision Engineering)

  • 제32권11호
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  • Pages.989-995
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  • 2015
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  • 1225-9071(pISSN)
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  • 2287-8769(eISSN)
한국정밀공학회 (Korean Society for Precision Engineering)
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Multidimensional Discretization과 Event-Codification 기법을 이용한 레이저 용접 불량 검출

Defect Detection in Laser Welding Using Multidimensional Discretization and Event-Codification

  • 백수정 (울산과학기술원 인간 및 시스템 공학과) ;
  • 오록규 (울산과학기술원 인간 및 시스템 공학과) ;
  • 김덕영 (울산과학기술원 인간 및 시스템 공학과)
  • Baek, Su Jeong (Department of Human and Systems Engineering, Ulsan National Institute of Science and Technology) ;
  • Oh, Rocku (Department of Human and Systems Engineering, Ulsan National Institute of Science and Technology) ;
  • Kim, Duck Young (Department of Human and Systems Engineering, Ulsan National Institute of Science and Technology)
  • 투고 : 2015.02.09
  • 심사 : 2015.08.20
  • 발행 : 2015.11.01
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초록

In the literature, various stochastic anomaly detection methods, such as limit checking and PCA-based approaches, have been applied to weld defect detection. However, it is still a challenge to identify meaningful defect patterns from very limited sensor signals of laser welding, characterized by intermittent, discontinuous, very short, and non-stationary random signals. In order to effectively analyze the physical characteristics of laser weld signals: plasma intensity, weld pool temperature, and back reflection, we first transform the raw data of laser weld signals into the form of event logs. This is done by multidimensional discretization and event-codification, after which the event logs are decoded to extract weld defect patterns by $Na{\ddot{i}}ve$ Bayes classifier. The performance of the proposed method is examined in comparison with the commercial solution of PRECITEC's LWM$^{TM}$ and the most recent PCA-based detection method. The results show higher performance of the proposed method in terms of sensitivity (1.00) and specificity (0.98).

키워드

참고문헌

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