scholarly journals Penerima Gelombang ELF berbasis Op-Amp untuk Pengolahan Akuisisi Data Gempa Bumi

Author(s):  
RHEYUNIARTO SAHLENDAR ASTHAN ◽  
DEAN CORIO ◽  
MIA MARIA ULFAH ◽  
URI ARTA RAMADHANI ◽  
ACHMAD MUNIR

ABSTRAKPenelitian ini membahas mengenai penerima gelombang extremely low frequency (ELF) untuk pengolahan akuisisi data gempa bumi. Penerima ELF dirancang menggunakan operational amplifier (Op-Amp) dengan masukan takmembalik. Sinyal yang diterima oleh antena diteruskan ke penerima ELF yang terdiri dari preamplifier dan amplifier untuk proses penguatan, serta filter aktif orde 2 untuk menekan sinyal di atas frekuensi cut-off sebesar 50Hz. Karakterisasi penerima ELF dilakukan dengan mengamati perbandingan level tegangan sinyal keluaran terhadap level tegangan sinyal masukan, sensitivitas, serta bentuk sinyal keluaran dari penerima ELF dalam domain waktu. Hasil simulasi menunjukkan bahwa penerima ELF menghasilkan penguatan sebesar 60,8dB dengan sensitifitas tinggi untuk level sinyal masukan di bawah -30dB yang mampu memenuhi level sinyal untuk pengolahan akuisisi data.Kata kunci: extremely low frequency, penerima ELF, operational amplifier, filter aktif, gempa bumi ABSTRACTThis research presents extremely low frequency (ELF) receiver for earthquake data acquisition processing. The ELF receiver is designed based on non-inverting operational amplifier (Op-Amp). The signal received by the antenna is fed into ELF receiver which consists of preamplifier and amplifier for amplification, and second order active filter to suppress unwanted signal above the cut-off frequency of 50Hz. Characterization of ELF receiver is performed by observing the comparison of the level output signal to level input signal, sensitivity, and ELF receiver signal output in time domain. The simulation results show that the ELF receiver has gain of 60.8dB with high sensitivity for low level input signals below -30dB that is able to meet signal level for data acquisition processing.Keywords: extremely low frequency, ELF receiver, operational amplifier, active filter, earthquake

2015 ◽  
Vol 12 (2) ◽  
pp. 1651-1666 ◽  
Author(s):  
Ronen Hareuveny ◽  
Madhuri Sudan ◽  
Malka Halgamuge ◽  
Yoav Yaffe ◽  
Yuval Tzabari ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e106666 ◽  
Author(s):  
Irene Calvente ◽  
Cristina Dávila-Arias ◽  
Olga Ocón-Hernández ◽  
Rocío Pérez-Lobato ◽  
Rosa Ramos ◽  
...  

1998 ◽  
Vol 13 (11) ◽  
pp. 776-781
Author(s):  
Amy Schiffman ◽  
Patrick N. Breysse ◽  
Sukon Kanchanaraksa ◽  
Terry Cutler ◽  
Victor Fan

2019 ◽  
Vol 40 (8) ◽  
pp. 569-577
Author(s):  
Sangjun Choi ◽  
Soyeon Kim ◽  
Seoyoun Bae ◽  
Won Kim ◽  
Ju‐Hyun Park ◽  
...  

Author(s):  
Achmad Munir ◽  
Kusmadi Kusmadi ◽  
Kusnandar Kusnandar ◽  
Asep Najmurrokhman ◽  
Chairunnisa Chairunnisa ◽  
...  

Author(s):  
Marta Bonato ◽  
Marta Parazzini ◽  
Emma Chiaramello ◽  
Serena Fiocchi ◽  
Laurent Le Brusquet ◽  
...  

In this study, children’s exposure to extremely low frequency magnetic fields (ELF-MF, 40–800 Hz) is investigated. The interest in this thematic has grown due to a possible correlation between the increased risk of childhood leukemia and a daily average exposure above 0.4 µT, although the causal relationship is still uncertain. The aim of this paper was to present a new method of characterizing the children’s exposure to ELF-MF starting from personal measurements using a stochastic approach based on segmentation (and to apply it to the personal measurements themselves) of two previous projects: the ARIMMORA project and the EXPERS project. The stochastic model consisted in (i) splitting the 24 h recordings into stationary events and (ii) characterizing each event with four parameters that are easily interpretable: the duration of the event, the mean value, the dispersion of the magnetic field over the event, and a final parameter characterizing the variation speed. Afterward, the data from the two databases were divided in subgroups based on a characteristic (i.e., children’s age, number of inhabitants in the area, etc.). For every subgroup, the kernel density estimation (KDE) of each parameter was calculated and the p-value histogram of the parameters together was obtained, in order to compare the subgroups and to extract information about the children’s exposure. In conclusion, this new stochastic approach allows for the identification of the parameters that most affect the level of children’s exposure.


Author(s):  
Alexandra P. Mavropoulou ◽  
Alexandros D. Bechrakis Triantafyllos ◽  
Christos D. Nikolopoulos

Nowadays, a wide range of space missions accommodate ever-stricter electromagnetic cleanliness requirements arising either from the need for more precise measurements or from the implementation of highly sensitive equipment. Therefore, the establishment of a methodology that ensures the minimization of the electric and/or magnetic field in specific areas inside or outside the spacecraft structure is crucial. Towards this goal, the current chapter proposes that utilizing the results of a process completed during the early design stages of a mission, that is, the measurement and characterization of each implemented device, the desired elimination of the field can be achieved. In particular, the emerged electromagnetic signatures of the units are proven essential for the proposed methodology, which, using a heuristic approach, defines the optimal ordinance of the equipment that leads to system-level electromagnetic field minimization in the volume of interest. The dimensions of the devices and the effect of the conductive surfaces of the spacecraft's hull are also taken into account.


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