Effects of the Target on the Performance of an Ultra-Low Power Eddy Current Displacement Sensor for Industrial Applications Article Swipe
Alessandro Bertacchini
,
Marco Lasagni
,
Gabriele Sereni
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/electronics9081287
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/electronics9081287
The demand for smart, low-power, and low-cost sensors is rapidly increasing with the proliferation of industry automation. In this context, an Ultra-Low Power Eddy Current Displacement Sensor (ULP-ECDS) targeting common industrial applications and designed to be embedded in wireless Industrial Internet of Things (IIoT) devices is presented. A complete characterization of the realized ULP-ECDS operating with different metallic targets was carried out. The choice of the considered targets in terms of material and thickness was inspired by typical industrial scenarios. The experimental results show that the realized prototype works properly with extremely low supply voltages, allowing for obtaining an ultra-low power consumption, significantly lower than other state-of-the-art solutions. In particular, the proposed sensor reached the best resolution of 2 µm in case of a carbon steel target when operated with a supply voltage of 200 mV and with a power consumption of 150 µW. By accepting a resolution of 12 µm, it is possible to further reduce the power consumption of the sensor to less than 10 µW. The obtained results also demonstrate how the performances of the sensor are strongly dependent on both the target and the demodulation technique used to extract the displacement information. This allowed for defining some practical guidelines that can help the design of effective solutions considering application-specific constraints.
Related Topics
Concepts
Context (archaeology)
Power (physics)
Industrial Internet
Voltage
Electrical engineering
Power consumption
Demodulation
Eddy current
Electronic engineering
Low voltage
Engineering
Computer science
Automotive engineering
Embedded system
Internet of Things
Channel (broadcasting)
Biology
Paleontology
Quantum mechanics
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics9081287
- https://www.mdpi.com/2079-9292/9/8/1287/pdf?version=1597217971
- OA Status
- gold
- Cited By
- 9
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3048845371
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3048845371Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics9081287Digital Object Identifier
- Title
-
Effects of the Target on the Performance of an Ultra-Low Power Eddy Current Displacement Sensor for Industrial ApplicationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-08-11Full publication date if available
- Authors
-
Alessandro Bertacchini, Marco Lasagni, Gabriele SereniList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics9081287Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/9/8/1287/pdf?version=1597217971Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/9/8/1287/pdf?version=1597217971Direct OA link when available
- Concepts
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Context (archaeology), Power (physics), Industrial Internet, Voltage, Electrical engineering, Power consumption, Demodulation, Eddy current, Electronic engineering, Low voltage, Engineering, Computer science, Automotive engineering, Embedded system, Internet of Things, Channel (broadcasting), Biology, Paleontology, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 4, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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