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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...

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Detalles Bibliográficos
Autores principales: Liu, Shiwei, Chen, Muchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
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