Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force

Che Ku Eddy Nizwan Che Ku Husin; Mohd Fairusham Ghazali; Ahmad Razlan Yusoff

doi:10.15282/jmes.15.4.2021.02.0668

Authors

C.K.E. Nizwan Faculty of Mechanical and Automotive Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia. Phone: +6094246217; Fax: +6094246222
M.F. Ghazali Faculty of Mechanical and Automotive Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia. Phone: +6094246217; Fax: +6094246222
A.R. Yusoff Department of Industrial Engineering, College of Engineering, Universiti Malaysia Pahang, 26300 Kuantan, Pahang, Malaysia

DOI:

https://doi.org/10.15282/jmes.15.4.2021.02.0668

Keywords:

Condition monitoring, experimental modal analysis, adaptive filter, harmonics elimination

Abstract

In modal analysis, measurement of input force and vibration response are crucial to accurately measure the transfer function of the structure. However, under operating condition, the force induced by operating machinery is impossible to be measured due to the sensor placement issue. In this case, the ambient response induced by the operating force should be suppressed to minimize the error in the Frequency Response Function (FRF) calculation. This paper presents the utilization of a modified spectral subtraction filter for ambient suppression. The introduction of effective ambient magnitude in gain function calculation has increased the efficiency of spectral subtraction filter. This parameter is calculated based on the phase information of the reconstructed artificial ambient response. The measurement using EMA was carried out on a motor-driven structure to verify the proposed technique. Two sets of data under shutdown and running condition were recorded to observe the effect of ambient operating force. Under the operating condition, the measured FRF show the non-identical features at operating frequencies as compared to the baseline data. The utilization of filtering process shows the ambient features contained in the transfer function was effectively suppressed. The output of filtering algorithm could provide an alternative option to perform EMA procedure under running condition.

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