Publication: Design the Feature Extraction for Real Time Inspection of Welding Quality
| dc.contributor.author | Eakkachai Warinsiriruk | en_US |
| dc.contributor.author | Fuad Mahfudianto | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2020-01-27T08:02:27Z | |
| dc.date.available | 2020-01-27T08:02:27Z | |
| dc.date.issued | 2019-01-22 | en_US |
| dc.description.abstract | © 2018 IEEE. The objective of this study is to design the feature extraction (time-frequency domain analysis) for detecting the mock-up weld defects (normal, porosity, irregular weld bead, and incomplete filling groove) in real-time at GMAW. Welch algorithm was implemented and improved for welding quality inspection by dividing into six frequency bands with a satisfactory sample size (512 samples/second). Frequency band 2 (frequency ranges 26-52 Hz) was selected for designing the internet of things (IoT) welding embedded system by proving the most sensitive to detect the mock-up weld defects. | en_US |
| dc.identifier.citation | TIMES-iCON 2018 - 3rd Technology Innovation Management and Engineering Science International Conference. (2019) | en_US |
| dc.identifier.doi | 10.1109/TIMES-iCON.2018.8621641 | en_US |
| dc.identifier.other | 2-s2.0-85062593478 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/50454 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062593478&origin=inward | en_US |
| dc.subject | Business, Management and Accounting | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Engineering | en_US |
| dc.title | Design the Feature Extraction for Real Time Inspection of Welding Quality | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062593478&origin=inward | en_US |