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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 36, Number 11(4) (2024)
Copyright(C) MYU K.K.
pp. 5099-5108
S&M3854 Research Paper of Special Issue
https://doi.org/10.18494/SAM5355
Published: November 29, 2024

Application of IoT Device-based Electric Power Measurement on Multifan System [PDF]

Pratikto Pratikto, Muhammad Nuriyadi, Ary Surjanto, Reza Alfarizi Mulyana, Raydha Zul Fitriani, and Yean-Der Kuan

(Received August 29, 2024; Accepted November 1, 2024)

Keywords: IoT, power measurement, waveform signal, ESP32

In this study, we explore the use of IoT devices, specifically ESP32, to record current, voltage, and electrical power data in a multifan system. The data reading speed of ESP32 is sufficient to read both voltage and current sensors, enabling the acquisition of the waveform signal. From the waveform data, the magnitudes of current, voltage, and power can be accurately determined using a reliable calculation technique. This application still needs calibration to ensure accurate values. Calibration can be done by adjusting the root mean square value and phase of the measured signal. In a multifan system controlled by a dimmer, the current is not always a sine wave. The total power of four fans with the same total speed is lower than the power of one fan with the same speed. The measurement results indicate that the values for current, voltage, power, and power factor are highly accurate, with a correlation coefficient of 0.99.

Corresponding author: Yean-Der Kuan


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Pratikto Pratikto, Muhammad Nuriyadi, Ary Surjanto, Reza Alfarizi Mulyana, Raydha Zul Fitriani, and Yean-Der Kuan, Application of IoT Device-based Electric Power Measurement on Multifan System, Sens. Mater., Vol. 36, No. 11, 2024, p. 5099-5108.



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