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Wire Rope Defect Recognition Method Based on MFL Signal Analysis and 1D-CNNs
The quantitative defect detection of wire rope is crucial to guarantee safety in various application scenes, and sophisticated inspection conditions usually lead to the accurate testing of difficulties and challenges. Thus, a magnetic flux leakage (MFL) signal analysis and convolutional neural netwo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098571/ https://www.ncbi.nlm.nih.gov/pubmed/37050426 http://dx.doi.org/10.3390/s23073366 |