IISM | Digital Service Innovation  Prof. Dr. Gerhard Satzger

Virtual Sensors


Sensor technology has become increasingly important (e.g., Industry 4.0, 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 only focusing on certain parts of the entire system by means of a multiplicity of methods and techniques. However, for small components as well as relatively inexpensive or immutable parts of a machine, asset or product, sometimes it is either technically not possible or uneconomical to embed sensors.

This project aims to explore 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, it seems to be possible to infer the condition of a system component, without actually observing it. In consequence, condition monitoring or additional services based on the component’s behavior can be developed without overcoming the challenges of sensor implementation.




01.01.2018 – 31.12.2020


Involved DSI Researchers

Dominik Martin

Niklas Kühl


System-wide Learning in Cyber-Physical Service Systems: A Research Agenda [in press].
Martin, D.; Kühl, N.; Bischhoffshausen, J. K. von; Satzger, G.
2020. Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2020), Kristiansand, Norwegen, November 2020
A Reference Architecture for Cyber-Physical Fluid Power Systems: Towards a Smart Ecosystem.
Martin, D.; Kunze von Bischhoffshausen, J.; Hensel, A.; Strandberg, J.
2020. Proceedings of the 12th International Fluid Power Conference (IFK), Dresden, Oktober 2020
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs.
Martin, D.; Spitzer, P.; Kühl, N.
2020. Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020
Service Systems, Smart Service Systems and Cyber-Physical Systems—What’s the difference? Towards a Unified Terminology.
Martin, D.; Hirt, R.; Kühl, N.
2019. 14. Internationale Tagung Wirtschaftsinformatik 2019 (WI 2019), Siegen, Germany, February 24-27
Towards Cognitive Sealing: Artificial Intelligence based Seal Condition Monitoring.
Martin, D.; Schüle, C.; Kunze von Bischhoffshausen, J.
2018. 20th ISC: International Sealing Conference, Stuttgart, October 10-11, 2018
Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case.
Martin, D.; Kühl, N.
2019. Proceedings of the 52nd Annual Hawaii International Conference on System Sciences (HICSS-52), Grand Wailea, Maui, Hawaii, January 8-11, 2019, 1005–1012