Cargando…
Magnetic Flux Leakage Sensing and Artificial Neural Network Pattern Recognition-Based Automated Damage Detection and Quantification for Wire Rope Non-Destructive Evaluation
In this study, a magnetic flux leakage (MFL) method, known to be a suitable non-destructive evaluation (NDE) method for continuum ferromagnetic structures, was used to detect local damage when inspecting steel wire ropes. To demonstrate the proposed damage detection method through experiments, a mul...
Autores principales: | Kim, Ju-Won, Park, Seunghee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795951/ https://www.ncbi.nlm.nih.gov/pubmed/29301294 http://dx.doi.org/10.3390/s18010109 |
Ejemplares similares
-
MFL-Based Local Damage Diagnosis and SVM-Based Damage Type Classification for Wire Rope NDE
por: Kim, Ju-Won, et al.
Publicado: (2019) -
Influence of the Size of Damage to the Steel Wire Rope on the Magnetic Signature
por: Mazurek, Paweł, et al.
Publicado: (2022) -
Physics of Magnetic Flux Ropes
por: Russell, T C, et al.
Publicado: (1990) -
Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing
por: Zhang, Juwei, et al.
Publicado: (2016) -
Non-Destructive Detection of Wire Rope Discontinuities from Residual Magnetic Field Images Using the Hilbert-Huang Transform and Compressed Sensing
por: Zhang, Juwei, et al.
Publicado: (2017)