Development Method for Enabling the Utilisation of a Sensory Function in a Central Component Based on Its Physical Properties

Abstract

In the context of condition monitoring and predictive maintenance, collecting accurate data from technical systems is an important corner stone of the advancing digitalization. For gathering precise data of the current state of a system, measurements from within the process can be utilised. To measure in process without disrupting the system is a challenge that can be tackled by using the physical properties of the components of the system. In this paper a method to systematically find such possible sensory utilizable components (SuC), based on their inherent physical effects is presented.

Systemic Conception of the Data Acquisition of Digital Twin Solutions for Use Case-Oriented Development and Its Application to a Gearbox

“…There are different methods for selecting suitable sensors for the measurement of specific flow or state variables of technical products. For the discussions in this paper, the "Sensory utilizable Design Elements" (SuDE) methodology by Kraus et al [23] is applied, the main steps of which will be explained in more detail below. The individual steps of the methodology are supported by an effect graph, which is a digitized effect catalog using a graph-based effects database [24].…”

“…In the final step, the found solutions are evaluated using generalized evaluation criteria to obtain a ranked list of feasible SuDEs at the end of the methodology. Based on this, a design element to be implemented can be selected [23].…”

Utilizing a graph data structure to model physical effects and dependencies between different physical variables for the systematic identification of sensory effects in design elements

“…The main benefit of this approach is, that no additional components need to be integrated into the usually limited building space, while the measurement can be carried out at or very close to the actual point of interest. To support designers, Kraus et al [14] introduced a method to identify and methodically select design elements from a technical system that show promising physical characteristics to fulfill a measurement task. The method gives an algorithmic structure to identify, select and score potential SuDE from a given structure of a physical system under the premise of knowing the desired target variable.…”

“…The components of the clutch are checked for sensory usability. For this purpose, the steps according to Kraus et al [14] are followed and possible alternatives to the measurement of the clutch position are sought. The central component of the PoI according to [14] is the friction lining.…”

“…For this purpose, the steps according to Kraus et al [14] are followed and possible alternatives to the measurement of the clutch position are sought. The central component of the PoI according to [14] is the friction lining. The change in the distance between the linings is to be determined.…”