Identification of weld defect through the application of denoising method to the sound signal acquired during pulse mode laser welding
The use of a classification model derived from the analysis of sound signals has demonstrated significant success in detecting, identifying, and characterising the weld condition, but it is affected by the filtering technique. In spite of this, denoising the transient-type signals acquired from cert...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Springer Nature
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38657/ http://umpir.ump.edu.my/id/eprint/38657/1/Identification%20of%20weld%20defect%20through%20the%20application%20of%20denoising%20method%20to%20the%20sound%20signal%20acquired.pdf http://umpir.ump.edu.my/id/eprint/38657/2/Identification%20of%20weld%20defect%20through%20the%20application%20of%20denoising%20method%20to%20the%20sound%20signal%20acquired%20during%20pulse%20mode%20laser%20welding.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/38657/http://umpir.ump.edu.my/id/eprint/38657/1/Identification%20of%20weld%20defect%20through%20the%20application%20of%20denoising%20method%20to%20the%20sound%20signal%20acquired.pdf
http://umpir.ump.edu.my/id/eprint/38657/2/Identification%20of%20weld%20defect%20through%20the%20application%20of%20denoising%20method%20to%20the%20sound%20signal%20acquired%20during%20pulse%20mode%20laser%20welding.pdf