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Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses

Martin, Dominik ORCID iD icon; Kühl, Niklas ORCID iD icon; Bischhoffshausen, Johannes Kunze von


Sensor technology has become increasingly important (e.g., Industry 4.0 and IoT). Large numbers of machines and products are equipped with sensors to constantly monitor their condition. Usually, the condition of an entire system is inferred through sensors in parts of the system by means of a multiplicity of methods and techniques. This so-called condition monitoring can thus reduce the downtime costs of a machine through improved maintenance scheduling. However, for small components as well as relatively inexpensive or immutable parts of a machine, sometimes it is not possible or uneconomical to embed sensors.

This chapter introduces a system-oriented concept of how to monitor individual components of a complex technical system without including additional sensor technology. By using already existing sensors from the environment combined with machine learning techniques, we are able to infer the condition of a system component, without actually observing it. As a consequence, condition monitoring or additional services based on the component’s behavior can be developed without overcoming the challenges of sensor implementation. In order to show the feasibility of the presented concept, we also implement an industrial use case.

DOI: 10.1007/978-3-030-58182-4_16
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Buchaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISBN: 978-3-030-58182-4
KITopen-ID: 1000129428
Erschienen in Smart Service Management: Design Guidelines and Best Practices. Hrsg.: Maria Maleshkova, Niklas Kühl, Philipp Jussen
Verlag Springer International Publishing
Seiten 179–191
Externe Relationen Siehe auch
Nachgewiesen in Dimensions
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