Wire Rope Defect Recognition Method Based on MFL Signal Analysis and 1D-CNNs.

Liu, Shiwei; Chen, Muchao

Liu, Shiwei; Chen, Muchao.

Afiliación

Liu S; College of Engineering, Huazhong Agricultural University, Wuhan 430070, China.
Chen M; Network Information and Modern Education Technology Center, Guangdong Communication Polytechnic, Guangzhou 510650, China.

Sensors (Basel) ; 23(7)2023 Mar 23.

Article en En | MEDLINE | ID: mdl-37050426

Palabras clave

convolutional neural network (CNN); defect detection; feature extraction; signal analysis; wire rope

Texto completo

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098571
https://dx.doi.org/10.3390/s23073366

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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098571
https://dx.doi.org/10.3390/s23073366

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China