2015
DOI: 10.12928/telkomnika.v13i3.2093
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Simulation Analysis of Interface Circuits for Piezoelectric Energy Harvesting with Damped Sinusoidal Signals and Random Signals

Abstract: Keywords: piezoelectric energy harvesting, interface circuit, damped sinusoidal signal, random signal, SLPSCopyright © 2015 Universitas Ahmad Dahlan. All rights reserved. IntroductionMicro-energy harvesting has been widely studied because of the development of wireless sensor networks. Various energy harvesting techniques, such as solar energy, thermal energy, and vibration energy have been investigated to eliminate dependence on batteries or wires [1][2][3][4][5]. The electromagnetic, electrostatic, and piezo… Show more

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Cited by 11 publications
(11 citation statements)
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“…In addition in 2014 ranging system has been studied for pseudorandom continuous wave signal [11]. Moreover in 2015 simulation analysis has been done for interface circuits for piezoelectric energy harvesting for random signal as well [12]. Afterwards in 2015 an analysis has been completed to determination of spectrum for Additive White Gaussian Noise (AWGN) by minimum set of Yule-Walker Equations in comparison with least mean square method for the same signal [13].…”
Section: Litarature Reviewmentioning
confidence: 99%
“…In addition in 2014 ranging system has been studied for pseudorandom continuous wave signal [11]. Moreover in 2015 simulation analysis has been done for interface circuits for piezoelectric energy harvesting for random signal as well [12]. Afterwards in 2015 an analysis has been completed to determination of spectrum for Additive White Gaussian Noise (AWGN) by minimum set of Yule-Walker Equations in comparison with least mean square method for the same signal [13].…”
Section: Litarature Reviewmentioning
confidence: 99%
“…Wavelet transform is a processing and analyzing method for signals of multi-scales with good time-frequency localized features [9][10][11], so it is very suitable for processing nuclear signals of fission neutrons with transient and time-varying characteristics. Usually, wavelet decomposition only decomposes low-frequency coefficients into two parts, while wavelet packet analysis further decomposes frequency of wavelet space based on binary system manner which makes wavelet packet overcome the problem of high time resolution but low frequency As it could be seen from the wavelet packet decomposition structure diagram, wavelet packet decomposition compartmentalizes frequency-band to multi-levels and further decomposes high-frequency which is no subsection in wavelet decomposition.…”
Section: Extracts the Features Of Fission Signals Based On Wavelet Pamentioning
confidence: 99%
“…It limits the amount of load current (i LOAD ) and, consequently, the average extracted power (<P LOAD >). In order to improved it, some circuits have been proposed [7], [8], as P-SSHI and SECE. P-SSHI (Fig.…”
Section: Electrical Interfacementioning
confidence: 99%