Characteristic Analysis of AE Signal Caused by Crack Growth
Acoustic emission (AE) is a well established non-destructive test technique. In this paper fatigue crack growth tests were performed using SM53C to evaluate the AE signals caused by crack. AE system was used to detect the crack signals. Feature values were calculated based on the AE signal analysis to evaluate the crack growth in three steps. The steps are divided into initiation, growth and breakage; and were classified according to the velocity of the crack growth. Both time and frequency plots were created using the AE signals of each step. In the feature domains, it was found that AE values changed rapidly as the velocity of crack increases.
KeywordsAcoustic Emission Acoustic Emission Signal Entropy Estimation Time Waveform Crest Factor
This research was supported by second-phase of BK21 (Brain Korea 21) Project, and thank you to concem.
- 5.Lee HJ, Park SH, Park WJ (2009) Characteristics of fatigue crack growth for camshaft material applied to high frequence induction treatment. Korea Soc Ocean Eng 23(3):46–52Google Scholar
- 6.Nam KW, Kim SJ (1998) Signal characteristics of acoustic emission from fatigue crack propagation. Proceedings of the KSME annual autumn conference, KSME, pp 53–58Google Scholar
- 7.Han T (2005) Development of a feature-based fault diagnostics system and its application on to induction motors. Department of Mechanical Engineering, The Graduate School Pukyong National University, pp 20–22 Google Scholar