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Engine rotational speed estimation using audio recordings and machine learning algorithms

Cristian Fosalau, George Maties, Cristian Zet
  • Abstract:
    There are many situations in practice when the value of the rotational speed of an engine is needed to be known and a direct instrument for measuring it is not available or, if present, it is decalibrated. One can use instead a non-contact method for estimating the speed. The paper presents such a non-contact method for estimating the rotational speed of a heat engine based on audio recordings and machine learning algorithms. The method principle, experimental validation and a discussion upon the optimal parameters and factors that lead to the best performances are presented.
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  • DOI:
    tc4-2022.16

Event details:

  • IMEKO TC:
    TC4
  • Event name:
    TC4 Symposium 2022
  • Title:

    25th IMEKO TC4 Symposium and 23nd International Workshop on ADC and DAC Modelling and Testing (IWADC)

  • Place:
    Brescia, ITALY
  • Time:
    12 September 2022 - 14 September 2022