Abstract
To improve the acoustic emission (AE) localization accuracy in anisotropic material, the time for sensors receiving the acoustic emission signals was determined from the signals de-noised by wavelet transform based on optimum wavelet base through a threshold method. Lead-off tests were implemented on steel and wood plates to simulate the acoustic emission sources. The acoustic emission sources locations were calculated based on the Geiger algorithm before and after signals de-noising. The localization results show that the localization method based on wavelet transform de-noising can improve the acoustic emission source localization accuracy in anisotropic material effectively. Acoustic emission sources localization in alumina ceramic specimens during compression failure was employed using the new acoustic emission localization method and the localization results reflected the dynamic fracture process within the material effectively.
| Original language | English |
|---|---|
| Pages (from-to) | 226-232 and 248 |
| Journal | Zhendong yu Chongji/Journal of Vibration and Shock |
| Volume | 37 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 28 Feb 2018 |
Keywords
- Acoustic emission
- De-noising
- Geiger algorithm
- Wavelet transform