Articles | Volume 6, issue 2
https://doi.org/10.5194/jsss-6-389-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.Special issue:
Inverse calculation of strain profiles from ETDR measurements using artificial neural networks
Related subject area
Measurement systems: Sensor signal processing and electronics
Simulation-based investigation of the metrological interface structural resolution capability of X-ray computed tomography scanners
Design of a CMOS memristor emulator-based, self-adaptive spiking analog-to-digital data conversion as the lowest level of a self-x hierarchy
Smart in-cylinder pressure sensor for closed-loop combustion control
Intelligent fault detection of electrical assemblies using hierarchical convolutional networks for supporting automatic optical inspection systems
J. Sens. Sens. Syst., 12, 1–8,
2023J. Sens. Sens. Syst., 11, 233–262,
2022J. Sens. Sens. Syst., 11, 1–13,
2022J. Sens. Sens. Syst., 9, 363–374,
2020Cited articles
Baviskar, S. and Heimovaara, T.: Quantification of soil water retention parameters using multi-section TDR-waveform analysis, J. Hydrol., 549, 404–415, https://doi.org/10.1016/j.jhydrol.2017.03.068, 2017.
Coccorese, E., Martone, R., and Morabito, F. C.: A neural network approach for the solution of electric and magnetic inverse problems, IEEE T. Magn., 30, 2829–2839, https://doi.org/10.1109/20.312527, 1994.
Höhne, R., Kostka, P., and Modler, N.: Cyclic testing of novel carbon fiber based strain sensor with spatial resolution, 17th European Conference on Composite Materials, Munich, 2016.
Höhne, R., Ehrig, T., Kostka, P., and Modler, N.: Phenomenological investigation of a carbon fiber based strain sensor with spatial resolution by means of time domain reflectometry, Materialwiss. Werkst., 47, 1024–1033, 2017a.
Höhne, R., Kostka, P., and Modler, N.: Characterization of the spatial resolution capability of a novel carbon fiber strain sensor based on characteristic impedance measurements, Proceedings Sensor 2017, 166–171, 2017b.