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  5. Design methodology and uncertainty estimation of a wireless sensor network for surface strain and shape measurements

Design methodology and uncertainty estimation of a wireless sensor network for surface strain and shape measurements

Publication date
2025-04-18
Document type
Forschungsartikel
Author
Bretthauer, Lars-Michel  
Heynicke, Ralf  
Scholl, Gerd  
Organisational unit
Elektrische Messtechnik  
DTEC.bw  
DOI
10.1515/teme-2025-0008
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/23033
Project
Neue Lösung in Elektronik und Kommunikation: Digitale Sensor-2-Cloud Campus Plattform  
Publisher
De Gruyter Oldenbourg
Series or journal
Technisches Messen
ISSN
0171-8096
Periodical volume
92
Periodical issue
5
First page
159
Last page
167
Part of the university bibliography
✅
Additional Information
Language
English
Keyword
dtec.bw
Abstract
A sensor network has been developed consisting of wireless sensor nodes, that are interconnected by mechanical distance sensors. This approach makes it possible to precisely measure strain and shape of an object. The total number of probes and their positions will vary depending on the shape of the individual object that shall be measured. We developed a design procedure of optimally distributing the network on the surface with respect to the minimum number of sensors to be used taking into account the mechanical boundary conditions. Furthermore, two possible evaluations are shown to determine the measurement uncertainty of the sensor network. This can be used to select the network with the minimum uncertainty. Both methods developed will be illustrated using an artificial surface. Although the example was chosen specifically to achieve the greatest possible clarity, the results can be regarded as generally applicable.
Version
Published version
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