Performance of consistency parameters analysis using fourier and wavelet transform on multi spectral fluctuation signal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fluctuation is one of phenomenons resulted in a data acquisition process that has some characteristics such as nonlinear and non-stationary. This study aims to analyze the signal fluctuations generated by MFCS (multi-frequency capacitive sensor) by implementing a combination method of Fourier and wavelet transforms. We apply the statistical approach to analyze, such as: mean, standard deviation and VMR (variance to mean ratio). Mother wavelet transform used Coiflet level 1 and level 2. Furthermore, data processing consists of several categories based on the type of transformation used, namely: (i). TF (Fourier-transformation), (ii). TFW-C11 (Fourier-wavelet transformation) Coiflet-1 (iii). TFW-C12 (Fourier-wavelet Transformation) Coiflet-2. The results obtained reveal that the value of consistency fluctuation that is smaller than one has the highest percentage of the mean values by applying TFW-C12. We notice that this quite new approach can be one of the promising signal processing methods for MFCS sensor.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Electrical Engineering and Informatics
Subtitle of host publicationAdvancing Knowledge, Research, and Technology for Humanity, ICELTICs 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-11
Number of pages5
ISBN (Electronic)9781538629345
DOIs
Publication statusPublished - 9 Jan 2018
Event2017 International Conference on Electrical Engineering and Informatics, ICELTICs 2017 - Banda Aceh, Indonesia
Duration: 18 Oct 201720 Oct 2017

Publication series

NameProceedings - 2017 International Conference on Electrical Engineering and Informatics: Advancing Knowledge, Research, and Technology for Humanity, ICELTICs 2017
Volume2018-January

Conference

Conference2017 International Conference on Electrical Engineering and Informatics, ICELTICs 2017
CountryIndonesia
CityBanda Aceh
Period18/10/1720/10/17

    Fingerprint

Keywords

  • Fluctuation signal
  • multi-spectral
  • statistical approach

Cite this

Melinda, M., Tamsir, A. S., Basari, & Gunawan, D. (2018). Performance of consistency parameters analysis using fourier and wavelet transform on multi spectral fluctuation signal. In Proceedings - 2017 International Conference on Electrical Engineering and Informatics: Advancing Knowledge, Research, and Technology for Humanity, ICELTICs 2017 (pp. 7-11). (Proceedings - 2017 International Conference on Electrical Engineering and Informatics: Advancing Knowledge, Research, and Technology for Humanity, ICELTICs 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICELTICS.2017.8253248