ArticleSensors (Basel, Switzerland)2019
Intelligent Sensing Using Multiple Sensors for Material Characterization.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Neural Network Methods in the Development of MEMS Sensors.Micromachines · 2024Review
- A Microwave Differential Dielectric Sensor Based on Mode Splitting of Coupled Resonators.Sensors (Basel, Switzerland) · 2024Article
- Microwave Dual-Crack Sensor with a High Q-Factor Using the TEMicromachines · 2023Article
- Techniques to Improve the Performance of Planar Microwave Sensors: A Review and Recent Developments.Sensors (Basel, Switzerland) · 2022Review
- A High-Resolution Reflective Microwave Planar Sensor for Sensing of Vanadium Electrolyte.Sensors (Basel, Switzerland) · 2021Article
- Magnetoelastic Humidity Sensors with TiOSensors (Basel, Switzerland) · 2020Article
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Authors and funding
6 authors.
Funding
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Abstract
This paper presents a concept of an intelligent sensing technique based on modulating the frequency responses of microwave near-field sensors to characterize material parameters. The concept is based on the assumption that the physical parameters being extracted such as fluid concentration are constant over the range of frequency of the sensor. The modulation of the frequency response is based on the interactions between the material under test and multiple sensors. The concept is based on observing the responses of the sensors over a frequency wideband as vectors of many dimensions. The dimensions are then considered as the features for a neural network. With small datasets, the neural networks can produce highly accurate and generalized models. The concept is demonstrated by designing a microwave sensing system based on a two-port microstrip line exciting three-identical planar resonators. For experimental validation, the sensor is used to detect the concentration of a fluid material composed of two pure fluids. Very high accuracy is achieved.
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Registered trials
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