| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9708869 | Journal of Materials Processing Technology | 2005 | 9 Pages |
Abstract
At the end, an artificial neural network (ANN) was constructed to diagnose welding faults. Features extracted from the acoustic signals were input into the ANN. After training, the ANN could be used to identify between normal and abnormal welds.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Hong Luo, Hao Zeng, Lunji Hu, Xiyuan Hu, Zhude Zhou,