Cargando…
Deep Learning-Based Acoustic Emission Scheme for Nondestructive Localization of Cracks in Train Rails under a Load
This research proposes a nondestructive single-sensor acoustic emission (AE) scheme for the detection and localization of cracks in steel rail under loads. In the operation, AE signals were captured by the AE sensor and converted into digital signal data by AE data acquisition module. The digital da...
Autores principales: | Suwansin, Wara, Phasukkit, Pattarapong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795722/ https://www.ncbi.nlm.nih.gov/pubmed/33401611 http://dx.doi.org/10.3390/s21010272 |
Ejemplares similares
-
Portable Deep Learning-Driven Ion-Sensitive Field-Effect Transistor Scheme for Measurement of Carbaryl Pesticide
por: Houngkamhang, Nongluck, et al.
Publicado: (2022) -
Combined Acoustic Emission and Digital Image Correlation for Early Detection and Measurement of Fatigue Cracks in Rails and Train Parts under Dynamic Loading
por: Machikhin, Alexander, et al.
Publicado: (2022) -
IR-UWB Pulse Generation Using FPGA Scheme for through Obstacle Human Detection
por: Tantiparimongkol, Lalida, et al.
Publicado: (2020) -
Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation
por: Apivanichkul, Kamonchat, et al.
Publicado: (2023) -
3D Kinect Camera Scheme with Time-Series Deep-Learning Algorithms for Classification and Prediction of Lung Tumor Motility
por: Puangragsa, Utumporn, et al.
Publicado: (2022)