Issue |
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 4 | |
Section | Electrical, Intrumentation and control, Dynamic Electricity | |
DOI | https://doi.org/10.1051/e3sconf/202132802007 | |
Published online | 06 December 2021 |
Digital Moving Average Filter Application for Echo Signals and Temperature
Department of Electrical Engineering, University of Trunojoyo Madura, 69162, Indonesia
* Corresponding author : dian.neipa@trunojoyo.ac.id
In this work, we propose a digital filter design, namely moving average filter (MAF) to be implemented on echo signal and temperature data. The echo signal data is obtained from the ultrasonic transducer, while the temperature data is obtained from the PI controller. The implementation of the moving average filter on the echo signal data will compare the second-order MAF and the fourth-order MAF. The results of the test show that the use of a digital filter makes the data smoother when compared to unfiltered data. Furthermore, the comparison of orders on the MAF filter has an impact on the filter response getting closer to the ideal characteristics if using a higher order.
Key words: Moving Average Filter / Echo Signal / Temperature
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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