---
res:
  bibo_abstract:
  - "Predictive maintenance is a key requirement for autonomous systems, particularly
    in the rail sector where it enables autonomous rail operation.\r\n\r\nIn order
    to perform effective condition monitoring and predictive maintenance the integration
    of operational data, engineering models, and hybrid predictive models is necessary
    and enables a centralised access to all necessary data. The digital twin (DT)
    concept fulfils this requirements and is technically realised in the Eclipse BaSyx
    Asset Administration Shell (AAS) environment as a central hub for capturing models,
    measuring data and maintenance information. The implementation makes use of Industrial
    Digital Twin Association-Standards (IDTA) and models the train components in a
    hierarchical structure.\r\n\r\nHowever, in the current BaSyx implementation manually
    creating the hierarchical DT structures is error-prone and difficult to standardize.
    This paper presents an adapter that creates and maintains hierarchical DT structures
    based on predefined concepts. The adapter facilitates the annotation of heterogeneous
    data and models, their mapping to a desired DT hierarchy, and their deployment
    into a standardized BaSyx-based AAS infrastructure by providing an easy-to-use
    user interface. The hierarchical DT structure resembles the hierarchical structure
    of the system and its models and allows the exchange of parts or components physically
    and virtually.\r\n\r\nThe development of the adapter accompanied the development
    of physical, data-driven and hybrid models to enable predictive maintenance for
    rubber-metal springs in rail bogies. The application is illustratively for predictive
    maintenance in the rail sector and yielded practical insights for engineering
    cyber-physical systems.\r\n\r\nBy addressing current user interface limitations,
    this work provides a scalable, standard-compliant approach for integrating different
    data sources, creating the initial DT structure and continuously operating a DT
    in rail maintenance management.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Andreas Maximilian
      foaf_name: Schultz, Andreas Maximilian
      foaf_surname: Schultz
      foaf_workInfoHomepage: http://www.librecat.org/personId=40599
  - foaf_Person:
      foaf_givenName: Jill Mercedes
      foaf_name: Linneweber, Jill Mercedes
      foaf_surname: Linneweber
      foaf_workInfoHomepage: http://www.librecat.org/personId=57639
    orcid: https://orcid.org/0009-0002-1910-358X
  - foaf_Person:
      foaf_givenName: Max
      foaf_name: Kelber, Max
      foaf_surname: Kelber
      foaf_workInfoHomepage: http://www.librecat.org/personId=70188
  - foaf_Person:
      foaf_givenName: Janik
      foaf_name: Hark, Janik
      foaf_surname: Hark
  - foaf_Person:
      foaf_givenName: Laura
      foaf_name: Müller, Laura
      foaf_surname: Müller
      foaf_workInfoHomepage: http://www.librecat.org/personId=44605
  - foaf_Person:
      foaf_givenName: Walter
      foaf_name: Sextro, Walter
      foaf_surname: Sextro
      foaf_workInfoHomepage: http://www.librecat.org/personId=21220
  - foaf_Person:
      foaf_givenName: Iryna
      foaf_name: Mozgova, Iryna
      foaf_surname: Mozgova
      foaf_workInfoHomepage: http://www.librecat.org/personId=95903
  dct_date: 2026^xs_gYear
  dct_language: ger
  dct_title: Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung
    im ATO@
...