Managing the uncertainty in data-acquisition by in situ measurements: a review and evaluation of sensing machine element-approaches in the context of digital twins Online publication date: Thu, 17-Jun-2021
by Maximilian Hausmann; Yanik Koch; Eckhard Kirchner
International Journal of Product Lifecycle Management (IJPLM), Vol. 13, No. 1, 2021
Abstract: The acquisition of data is important for the digitalisation of production and product development as well as for digital twins. In the scope of this contribution, the integration of sensors close to a process for measuring the quantity of interest at its point of origin is presented. Therefore, a classification of measurement locations in in situ and ex situ measurements based on the complexity of the required transfer path of the quantity of interest and the prevailing uncertainty is proposed. A promising way for sensor integration are sensing machine elements (SMEs), which are suitable for capturing data for digital twins due to their simple applicability, measurement at the point of interest as well as reduced structural changes. In a short overview, possible uncertainties for different measurement locations are presented and potentials as well as challenges for the in situ measurement in the context of digital twins are derived.
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