Online frequency estimation with applications to engine and generator sets

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Mikael Manngård, Jari M. Böling
Publication year: 2017
Journal: Mechanical Systems and Signal Processing
Journal acronym: MSSP
Volume number: 91
Start page: 233
End page: 249
eISSN: 1096-1216


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.


Keywords

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

Last updated on 2019-20-07 at 07:05