Cargando…
Temperature Compensation of Elasto-Magneto-Electric (EME) Sensors in Cable Force Monitoring Using BP Neural Network
Techniques based on the elasto-magnetic (EM) effect have been receiving increasing attention for their significant advantages in cable stress/force monitoring of in-service structures. Variations in ambient temperature affect the magnetic behaviors of steel components, causing errors in the sensor a...
Autores principales: | Zhang, Ru, Duan, Yuanfeng, Zhao, Yang, He, Xuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068743/ https://www.ncbi.nlm.nih.gov/pubmed/29986439 http://dx.doi.org/10.3390/s18072176 |
Ejemplares similares
-
Smart Elasto-Magneto-Electric (EME) Sensors for Stress Monitoring of Steel Cables: Design Theory and Experimental Validation
por: Zhang, Ru, et al.
Publicado: (2014) -
Calibration of Elasto-Magnetic Sensors on In-Service Cable-Stayed Bridges for Stress Monitoring
por: Cappello, Carlo, et al.
Publicado: (2018) -
Magneto-elasto-electroporation (MEEP): In-vitro visualization and numerical characteristics
por: Betal, Soutik, et al.
Publicado: (2016) -
Comprehensive Indicators for Evaluating and Seeking Elasto-Magnetic Parameters for High-Performance Cable Force Monitoring
por: Yan, Shuangsheng, et al.
Publicado: (2022) -
Cable Tension Monitoring Based on the Elasto-Magnetic Effect and the Self-Induction Phenomenon
por: Zhang, Senhua, et al.
Publicado: (2019)