Online frequency estimation with applications to engine and generator sets

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4 Citations (Scopus)

Abstract

Frequency and spectral analysis based on the discrete Fourier transform is a fundamental task in signal processing and machine diagnostics. This paper aims at presenting computationally ecient methods for real-time estimation of stationary and time-varying frequency components in signals. A brief survey of the sliding time window discrete Fourier transform and Goertzel filter is presented, and two filter banks consisting of: (i) sliding time window Goertzel filters (ii) infinite impulse response narrow bandpass filters are proposed for estimating instantaneous frequencies. The proposed methods show excellent results on both simulation studies and on a case study using angular speed data measurements of the crankshaft of a marine diesel engine-generator set.
Original languageUndefined/Unknown
Pages (from-to)233–249
JournalMechanical Systems and Signal Processing
Volume91
DOIs
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed

Keywords

  • Frequency estimation
  • Engine and generator sets
  • Sliding discrete Fourier transform
  • Filter banks

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