TY - GEN
T1 - Performance of consistency parameters analysis using fourier and wavelet transform on multi spectral fluctuation signal
AU - Melinda, Melinda
AU - Tamsir, Agus Santoso
AU - Basari, null
AU - Gunawan, Dadang
PY - 2018/1/9
Y1 - 2018/1/9
N2 - 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.
AB - 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.
KW - Fluctuation signal
KW - multi-spectral
KW - statistical approach
UR - http://www.scopus.com/inward/record.url?scp=85046031221&partnerID=8YFLogxK
U2 - 10.1109/ICELTICS.2017.8253248
DO - 10.1109/ICELTICS.2017.8253248
M3 - Conference contribution
T3 - Proceedings - 2017 International Conference on Electrical Engineering and Informatics: Advancing Knowledge, Research, and Technology for Humanity, ICELTICs 2017
SP - 7
EP - 11
BT - Proceedings - 2017 International Conference on Electrical Engineering and Informatics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Electrical Engineering and Informatics, ICELTICs 2017
Y2 - 18 October 2017 through 20 October 2017
ER -