Zeitschriftenartikel:
T. Passath, C. Huber, L. Kohl, H. Biedermann, F. Ansari:
"A Knowledge-Based Digital Lifecycle-Oriented Asset Optimisation";
Tehnički glasnik - Technical Journal,
15
(2021),
2;
S. 226
- 234.
Kurzfassung englisch:
The digitalisation of the value chain promotes sophisticated virtual product models known as digital twins (DT) in all asset-life-cycle (ALC) phases. These models.
however, fail on representing the entire phases of asset-life-cycle (ALC), and do not allow continuous life-cycle-costing (LCC). Hence, energy efficiency and resource optimisation
across the entire circular value chain is neglected. This paper demonstrates how ALC optimisation can be achieved by incorporating all product life-cycle phases through the use
of a RAMS²-toolbox and the generation of a knowledge-based DT. The benefits of the developed model are demonstrated in a simulation, considering RAMS2 (Reliability,
Availability, Maintainability, Safety and Sustainability) and the linking of heterogeneous data, with the help of a dynamic Bayesian network (DBN).
Schlagworte:
criticality analysis; digital twin; dynamic Bayesian network; knowledge-based maintenance; RAMS²
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.31803/tg-20210504111400
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.