Feature extraction of metal magnetic memory signals for welding cracks based on wavelet analysis
Based on multiscale wavelet analysis and fast Fourier transform, metal magnetic memory signals were processed for welding cracks. A criterion feature to identify the existence of welding cracks was found out. Corresponding threshold value of the feature was established. Field inspection indicated th...
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| Veröffentlicht in: | Cai liao gong cheng = Journal of materials engineering 2008-01 (1), p.34-37 |
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| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | chi |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Based on multiscale wavelet analysis and fast Fourier transform, metal magnetic memory signals were processed for welding cracks. A criterion feature to identify the existence of welding cracks was found out. Corresponding threshold value of the feature was established. Field inspection indicated that welding cracks could be accurately identified with the criterion feature. |
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| ISSN: | 1001-4381 |