Online frequency estimation with applications to engine and generator sets

A1 Originalartikel i en vetenskaplig tidskrift (referentgranskad)

Interna författare/redaktörer

Publikationens författare: Mikael Manngård, Jari M. Böling
Publiceringsår: 2017
Tidskrift: Mechanical Systems and Signal Processing
Tidskriftsakronym: MSSP
Volym: 91
Artikelns första sida, sidnummer: 233
Artikelns sista sida, sidnummer: 249
eISSN: 1096-1216


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.


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

Senast uppdaterad 2019-19-11 vid 05:47