Dubek, K., Schneidhofer, C., Dörr, N., & Schmid, U. (2023). Robust Sensor System for Condition Monitoring of Lubricated Rail Vehicle Components. In Sensor and Measurement Science International (SMSI 2023) (pp. 102–103). https://doi.org/10.5162/SMSI2023/B3.2
Sensor and Measurement Science International (SMSI 2023)
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Date (published):
May-2023
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Event name:
Sensor and Measurement Science International (SMSI 2023)
en
Event date:
8-May-2023 - 11-May-2023
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Event place:
Nürnberg, Germany
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Number of Pages:
2
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Keywords:
humidity sensor; axle box bearing; grease; water content; condition monitoring
en
Abstract:
Sensor systems for monitoring lubricated components must provide a high-level of robustness against various environmental impacts like temperature, humidity, and vibrational load to operate reliably over a long-term period. Therefore, a lab-to-field development environment was established to mimic the influence of these factors under controlled laboratory conditions. The sensor-based monitoring of water in grease-lubricated axle box bearings on wheelsets for railway application is presented to account for water content as critical lubricant parameter, as water can damage or even destroy bearings.
