Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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  • Publication
    Potentials and challenges of Smart Products and related business models
    ( 2020)
    Wang, Wei Min
    ;
    Lünnemann, Pascal
    ;
    Klemichen, Antje
    ;
    Blüher, Till
    ;
    Stark, Rainer
    Smart products are increasingly penetrating the market. They extend cyber-physical systems with Internet-based services and thus enable customer-specific adaptations and updates of products in the field. For industrial companies, smart product offering bear the potential to expand their product portfolios and increase their sales. In this article, the results of a survey among German engineers are presented that evaluated the actual state of adoption and future expectations regarding smart products in German industrial companies. The results show that the majority of German companies have recognized the potentials of smart products and also introduced such offerings in their portfolio. In this context, it is also expected that the product-related usage data will lead to a more individual communication with the customer. On the other hand, there is a high degree of uncertainty among companies regarding the adaptation of new business models, cooperation with an increasing number of partners, data management and the necessary technological infrastructure. These uncertainties can result in companies leaving potentials unexploited and opening up opportunities for new market participants. In summary, there seems to be a remaining gap between the willingness to abandon traditional business models and the expectations and strategies for future value creation.
  • Publication
    System identification of a hysteresis-controlled pump system using SINDy
    ( 2020)
    Thiele, Gregor
    ;
    Fey, Arne
    ;
    Sommer, David
    ;
    Krüger, Jörg
    Hysteresis-controlled devices are widely used in industrial applications. For example, cooling devices usually contain a two-point controller, resulting in a nonlinear hybrid system with two discrete states. Dynamic models of systems are essential for optimizing such industrial supply technology. However, conventional system identification approaches can hardly handle hysteresis-controlled devices. Thus, the new identification method Sparse Identification of Nonlinear Dynamics (SINDy) is extended to consider hybrid systems. SINDy composes models from basis functions out of a customized library in a data-driven manner. For modeling systems that behave dependent on their own past as in the case of natural hysteresis, Ferenc Preisach introduced the relay hysteron as an elementary mathematical description. In this new method (SINDyHybrid), tailored basis functions in form of relay hysterons are added to the library which is used by SINDy. Experiments with a hysteresis controlled water basin show that this approach correctly identifies state transitions of hybrid systems and also succeeds in modeling the dynamics of the discrete system states. A novel proximity hysteron achieves the robustness of this method. The impacts of the sampling rate and the signal noise ratio of the measurement data are examined accordingly.