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Intelligent design of sensor networks for data-driven sensor maintenance at railways

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  • Otto, Alena
  • Tilk, Christian

Abstract

With rapid advances in digitization, many critical processes in transportation, industries, and our daily life rely on sensor measurements. With time, however, the measurements may get gradually biased and their precision deteriorates, leading to an enhanced risk of major disruptions caused by false sensor measurements. All single sensor measurements are uncertain and deviate from the true value. To detect malfunctioning sensors early on, a set of recent measurements of each sensor has to be constantly cross-checked against the measurements of a given number of other sensors, i.e., sensors should form a diagnosable network.

Suggested Citation

  • Otto, Alena & Tilk, Christian, 2024. "Intelligent design of sensor networks for data-driven sensor maintenance at railways," Omega, Elsevier, vol. 127(C).
    • Handle: RePEc:eee:jomega:v:127:y:2024:i:c:s0305048324000616
    DOI: 10.1016/j.omega.2024.103094
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    References listed on IDEAS

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