Evidential Reasoning based Digital Twins for Performance Optimization of Complex Systems
Representation
DOI:
10.1016/j.procir.2021.11.104
Publication Date:
2021-11-26T20:54:27Z
AUTHORS (5)
ABSTRACT
Digital twins (DTs) are fast becoming an important technology in manufacturing companies for predicting failures of critical assets. However, such a digital is hybrid representation with multiple parameters which need to be monitored predict complex phenomena occurring the asset real time. This high-fidelity model twin makes computation output extensive. Therefore, it necessary develop reduction methods that simplify faster acceptable degree error. Such method was proposed previous studies identify nodes graph-based DT representation. article provides improvement method, considering uncertainty node selection Dempster-Shafer Theory (DST). The demonstrated grinding case study.
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