Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 3065-3074 |
| Seitenumfang | 10 |
| Fachzeitschrift | Proceedings of the Design Society |
| Jahrgang | 3 |
| Publikationsstatus | Veröffentlicht - 19 Juni 2023 |
| Veranstaltung | 24th International Conference on Engineering Design, ICED 2023 - Bordeaux, Frankreich Dauer: 24 Juli 2023 → 28 Juli 2023 |
Abstract
The use of sensor networks (SNs) on the surface or the inside of large-scale components allows the continuous acquisition of data on the applied loads and their structural integrity. A lot of publications on SN's system reliability deal with this topic from a hardware- or a data- and energy-oriented viewpoint. To give an overview on the state of the art in the field of reliability-oriented concept-optimization of SNs, a Systematic Literature Review is conducted. The found literature is used to investigate how different models combine the different viewpoints to analyse the system reliability. By analysing the results regarding the used reliability indicators and methods to assess the system reliability from the different viewpoints, it can be observed that most publications deal with the accuracy, loss and delay of data as well as the energy consumption in SNs. Few publications use common modelling methods like reliability block diagrams or Markov chains with a focus on the hardware reliability. Furthermore, none of the found publications combines the data, hardware and energy perspective and uses them to optimize a SN regarding its reliability from all three viewpoints.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Angewandte Informatik
- Informatik (insg.)
- Software
- Mathematik (insg.)
- Modellierung und Simulation
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in: Proceedings of the Design Society, Jahrgang 3, 19.06.2023, S. 3065-3074.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Reliability analysis for sensor networks and their data acquisition
T2 - 24th International Conference on Engineering Design, ICED 2023
AU - Meyer Zu Westerhausen, Sören
AU - Schneider, Jannik
AU - Lachmayer, Roland
PY - 2023/6/19
Y1 - 2023/6/19
N2 - The use of sensor networks (SNs) on the surface or the inside of large-scale components allows the continuous acquisition of data on the applied loads and their structural integrity. A lot of publications on SN's system reliability deal with this topic from a hardware- or a data- and energy-oriented viewpoint. To give an overview on the state of the art in the field of reliability-oriented concept-optimization of SNs, a Systematic Literature Review is conducted. The found literature is used to investigate how different models combine the different viewpoints to analyse the system reliability. By analysing the results regarding the used reliability indicators and methods to assess the system reliability from the different viewpoints, it can be observed that most publications deal with the accuracy, loss and delay of data as well as the energy consumption in SNs. Few publications use common modelling methods like reliability block diagrams or Markov chains with a focus on the hardware reliability. Furthermore, none of the found publications combines the data, hardware and energy perspective and uses them to optimize a SN regarding its reliability from all three viewpoints.
AB - The use of sensor networks (SNs) on the surface or the inside of large-scale components allows the continuous acquisition of data on the applied loads and their structural integrity. A lot of publications on SN's system reliability deal with this topic from a hardware- or a data- and energy-oriented viewpoint. To give an overview on the state of the art in the field of reliability-oriented concept-optimization of SNs, a Systematic Literature Review is conducted. The found literature is used to investigate how different models combine the different viewpoints to analyse the system reliability. By analysing the results regarding the used reliability indicators and methods to assess the system reliability from the different viewpoints, it can be observed that most publications deal with the accuracy, loss and delay of data as well as the energy consumption in SNs. Few publications use common modelling methods like reliability block diagrams or Markov chains with a focus on the hardware reliability. Furthermore, none of the found publications combines the data, hardware and energy perspective and uses them to optimize a SN regarding its reliability from all three viewpoints.
KW - Design methods
KW - Optimisation
KW - Product modelling / models
KW - Reliability
KW - Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=85165511263&partnerID=8YFLogxK
U2 - 10.1017/pds.2023.307
DO - 10.1017/pds.2023.307
M3 - Conference article
AN - SCOPUS:85165511263
VL - 3
SP - 3065
EP - 3074
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
Y2 - 24 July 2023 through 28 July 2023
ER -