A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters

Applying signal processing method effectively for a Coriolis flow meter (CFM) requires robust filtering strategies. This is because in actual bunkering processes, various noise components can be generated resulting in unreliable mass flow rate measurements. This study introduces a wavelet transform-...

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Main Authors: Khoo David Wee Yang, Ng Zhi Qun, Seah Leong Keey
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2025/08/epjconf_cim2025_08002.pdf
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author Khoo David Wee Yang
Ng Zhi Qun
Seah Leong Keey
author_facet Khoo David Wee Yang
Ng Zhi Qun
Seah Leong Keey
author_sort Khoo David Wee Yang
collection DOAJ
description Applying signal processing method effectively for a Coriolis flow meter (CFM) requires robust filtering strategies. This is because in actual bunkering processes, various noise components can be generated resulting in unreliable mass flow rate measurements. This study introduces a wavelet transform-based filtering algorithm to denoise and extract relevant features from non-stationary signals. It can be observed that the db6 and sym6 wavelets, with SURE and FDR thresholding, achieve the highest SNR values and lowest RMSE. The sym6 wavelet & SURE threshold exhibited good noise reduction effect and were used for further analysis. It was also found that FFT with Zero Padding paired with Wavelet Denoising & Cross Correlation yielded a percentage error of < 1% when comparing with the original simulated signal.
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series EPJ Web of Conferences
spelling doaj-art-3db0e32d0c754c268e665507bd1f2f202025-08-20T03:08:20ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013230800210.1051/epjconf/202532308002epjconf_cim2025_08002A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow MetersKhoo David Wee Yang0Ng Zhi Qun1Seah Leong Keey2National Metrology Centre, Agency for Science and Technology ResearchNanyang Technological UniversityNanyang Technological UniversityApplying signal processing method effectively for a Coriolis flow meter (CFM) requires robust filtering strategies. This is because in actual bunkering processes, various noise components can be generated resulting in unreliable mass flow rate measurements. This study introduces a wavelet transform-based filtering algorithm to denoise and extract relevant features from non-stationary signals. It can be observed that the db6 and sym6 wavelets, with SURE and FDR thresholding, achieve the highest SNR values and lowest RMSE. The sym6 wavelet & SURE threshold exhibited good noise reduction effect and were used for further analysis. It was also found that FFT with Zero Padding paired with Wavelet Denoising & Cross Correlation yielded a percentage error of < 1% when comparing with the original simulated signal.https://www.epj-conferences.org/articles/epjconf/pdf/2025/08/epjconf_cim2025_08002.pdf
spellingShingle Khoo David Wee Yang
Ng Zhi Qun
Seah Leong Keey
A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters
EPJ Web of Conferences
title A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters
title_full A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters
title_fullStr A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters
title_full_unstemmed A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters
title_short A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters
title_sort wavelet based filtering algorithm for enhancing signal processing in coriolis flow meters
url https://www.epj-conferences.org/articles/epjconf/pdf/2025/08/epjconf_cim2025_08002.pdf
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