Cargando…
Model-Based Correction of Temperature-Dependent Measurement Errors in Frequency Domain Electromagnetic Induction (FDEMI) Systems
Data measured using electromagnetic induction (EMI) systems are known to be susceptible to measurement influences associated with time-varying external ambient factors. Temperature variation is one of the most prominent factors causing drift in EMI data, leading to non-reproducible measurement resul...
Autores principales: | Tazifor, Martial, Zimmermann, Egon, Huisman, Johan Alexander, Dick, Markus, Mester, Achim, Van Waasen, Stefan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144451/ https://www.ncbi.nlm.nih.gov/pubmed/35632291 http://dx.doi.org/10.3390/s22103882 |
Ejemplares similares
-
Low-Pass Filters for a Temperature Drift Correction Method for Electromagnetic Induction Systems
por: Tazifor Tchantcho, Martial, et al.
Publicado: (2023) -
Calibration, Conversion, and Quantitative Multi-Layer Inversion of Multi-Coil Rigid-Boom Electromagnetic Induction Data
por: von Hebel, Christian, et al.
Publicado: (2019) -
Computational electromagnetics: frequency-domain method of moments
por: Miller, Edmund K, et al.
Publicado: (1992) -
Induction of Cell Activation Processes by Low Frequency Electromagnetic Fields
por: Simkó, Myrtill
Publicado: (2004) -
Modeling of High-Frequency Electromagnetic Effects on an Ironless Inductive Position Sensor
por: Danisi, Alessandro, et al.
Publicado: (2013)