Abstract
The phase transformation-generalized cross-correlation (PHAT-GCC) method was used to estimate the time delay of two acoustic signals. Then a robust regression method based on weighted least squares was used to obtain the time delay-deviation prediction model suitable for the low carbon steel butt pulsed metal-inert gas (MIG) welding process. Experimental results indicate that the time delay-deviation prediction model can meet the requirements of predicting welding path deviation.
Translated title of the contribution | Welding path deviation prediction based on time delay of a dual-microphone array |
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Original language | Chinese (Simplified) |
Pages (from-to) | 1578-1582 |
Number of pages | 5 |
Journal | Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University |
Volume | 50 |
Issue number | 10 |
DOIs | |
Publication status | Published - 2016 |
Keywords
- automation
- gas metal arc welding
- regression analysis
- time delay systems
- welding