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Kraus, B.; Schwind, J. V.; Kirchner, E.
Proceedings of the Design Society, 05/2022, Letnik: 2Journal Article, Conference Proceeding
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.
