Agus Santoso Tamsir

Analysis of excitation frequency to performance of electrical capacitance tomography

Electrical capacitance tomography (ECT) is one of imaging technique based on permittivity distribution of object inside the sensor. The principle of ECT is injection of square or sine wave signal with a certain frequency. In this paper, excitation frequencies of ECT system are analyzed in term of accuracy and systems performance. The frequency excitation will be scanned from 10 to 1500 kHz with 10 kHz of increment, hence the impedance value of ECT system can be obtained. Experiments using cylinder rods were conducted to validate the result of image reconstruction against excitation frequency. The good performance is in the frequency of 170–1000 kHz, which is the area at smaller impedance.

A digital signal processing algorithm on read out circuit for electrical capacitance tomography

The research relates to tomography technique based on electrical mass properties measurement. This study proposed electronic design of read out circuit (ROC) for signal processing in electrical capacitance tomography. The method is to capture the excitation and detection signal simultaneously using high speed analog-to-digital-converter (ADC) then save its reading to first-in-first-out (FIFO) memory. From the two signals, magnitude and phase can be determined. Therefore, calculation of capacitance and conductivity of object inside sensor is done using math equation.

Analysis of consistence level using new method of statistical transformation approach in multi-spectral fluctuation pattern

In this study, quite new method of statistical approach which is known as TST (tamsir statistical transformation) is introduced. TST is applied in order to obtain a consistence level of multi-spectral fluctuation pattern of HHF (high high-frequency). This is done because the data from the measurement results have large amount of data and have not been consistent yet. Therefore, it is essential to have quite good method to treat the data that can bridge the data processing previously. There are several parameters of the data analysis, which will be discussed, such as: the value of Total-C (total value comparison), consistence of fluctuation (CF), consistence of variance to mean ratio (C-VMR) and consistence of value (CV). Besides, the data are broken down into several groups of data. This is done because it is fruitful to seek the best group that has preferable consistence compare to others. The results obtained show that the statistical approach can determine the consistent results of data grouping for large data size. Moreover, the new approach of TST can accommodate to compute the consistence level of multi-spectral fluctuation pattern.