Online instantaneous angular speed estimation from vibration on low-power embedded systems evaluated on a gas foil bearing use case

Martin Leonhard Kliemank, Bernhard Rupprecht, Majid Ahmadzadeh, Ralf Brederlow, Karsten Stahl, Robert Liebich, Birgit Vogel-Heuser, Clemens Gühmann

Research output: Contribution to journalArticlepeer-review

Abstract

This study presents an algorithm for estimating the instantaneous angular speed (IAS) from vibrations in low-power embedded systems, evaluated on the use-case of a gas foil bearing. While there are numerous methods for IAS estimation, they have thus far only been evaluated using industrial-grade sensors and data acquisition systems with high computational resources. To boost the application of IAS estimation methods in embedded applications, like sensor-integrating machine elements, this paper highlights and evaluates an algorithm for low-power embedded systems. Theoretical analysis and benchmarks on various low-power microcontrollers demonstrate its feasibility for real-time application. Furthermore, evaluation with lower sampling rates and ADC resolutions confirms compatibility with small-scale sensors typical in embedded systems. For good performance, a typical Cortex-M4-based MCU (e.g. 1.12 ms estimation time using 1024 data points) and a sensor with 8-bit resolution and 6400 Hz sampling rate would suffice. These findings establish the algorithm's readiness for diverse embedded applications.

Original languageEnglish
Article number101600
JournalMeasurement: Sensors
DOIs
StateAccepted/In press - 2025

Keywords

  • Embedded systems
  • IAS tracking
  • Instantaneous angular speed (IAS) estimation
  • Low-power microcontrollers
  • RPM estimation

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