Implementation AC Series Arc Fault Recognition using Mikrokontroller Based on Fast Fourier Transform

Khafidli, Muhammad Khanif; Prasetyono, Eka; Anggriawan, Dimas Okky; Tjahjono, Anang; Syafii, Muhammad Hafid Riza Alvi

doi:10.1109/elecsym.2018.8615529

Cited by 18 publications

(8 citation statements)

References 7 publications

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“…The microcontroller provides additional facilities for the development of memory and I/O that are tailored to the needs of the system. The price for obtaining this tool is cheaper and easier to obtain [5]. https://doi.org/ 10.47709/brilliance.v2i1.1536…”

Section: Microcontrollermentioning

confidence: 99%

Implementation of a Gas Leakage Detection System Using the MQ-6 Sensor

Tommy

2022

Brilliance

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The role of gas at this time is very important for human life. The use of gas is expanding from household, industrial to transportation needs.Remember the depletion of petroleum supplies. This makes gas as an alternative fuel to replace the main role of petroleum. The risk of using gas as fuel is the occurrence of gas leaks which can have an impact on large-scale fires. A detection system is designed to detect gas leaks with the MQ-6 sensor and solenoid valve to close the gas line. The research was conducted by testing the voltage from the sensor using a predetermined program. The maximum reading distance from the gas sensor is 18 cm with a time of 45.26 seconds based on tests carried out by narrowing the gas exit path to provide a faster rate effect so that the sensor can detect gas.

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Section: Microcontrollermentioning

confidence: 99%

Implementation of a Gas Leakage Detection System Using the MQ-6 Sensor

Tommy

2022

Brilliance

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“…From several experiments have been carried out [6], [8] the current characteristics during series AC arc fault can be identified, including:…”

Section: System Design 41 Experimental Of Series Ac Arc Fault 411 Summary Of Series Ac Arc Fault Characteristicmentioning

confidence: 99%

Series Arc Fault Breaker in Low Voltage Using Microcontroller Based on Fast Fourier Transform

Anggriawan

Rheinanda

Khafidli

et al. 2021

EMITTER Int'l J. of Engin. Technol.

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Series Arc Fault is one of the disturbances of arcing jump is caused by gas ionization between two ends of damaged conductors or broken wire forming a gap in the insulator. Series arc fault is the primary driver of electrical fire. However, lack of knowledge of the disturbance of series arc fault causes the problem of electrical fire not be mitigated. Magnitude current is not capable to detect of series arc fault. Therefore, this paper proposes fast fourier transform (FFT) to detect series AC arc fault in low voltage using microcontroller ARM STM32F7NGH in real time. A cheap and high speed of microcontroller ARM STM32F7NGH can be used for FFT computation to transform signal in time domain to frequency domain. Moreover, in this paper, protection of series AC arc fault is proposed in the real time mode. In this experimental process, some various experiments are tested to evaluate the reliability of FFT and protection with various load starts from 1 A, 2 A, 3 A, 4 A in resistive load. The result of this experiment shows that series AC arc fault protection with STM32F7 microcontroller and FFT algorithm can be utilized to ensure series AC arc fault properly.

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“…Due to the limit of the time-domain signals, some papers turn to the frequency-domain analysis, because the frequency range of AFs is wide, which can reach almost MHz [14]. Fast Fourier Transformation (FFT) is commonly used in frequency-domain analysis [15]. However, AF detection requires a relatively short observation window for fast identifying arcs.…”

Section: Introductionmentioning

confidence: 99%

A Coupling Method for Identifying Arc Faults Based on Short-Observation-Window SVDR

Jiang

Bao

Hong

et al. 2021

IEEE Trans. Instrum. Meas.

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This paper presents a new method for effective detection of AC series arc fault (SAF) and extraction of SAF characteristics in residential buildings, which addresses the challenges with conventional current detection methods in discriminating arcing and non-arcing current due to their similarity. Different from the traditional method, in the proposed method, the differential magnetic flux is coupled to obtain high-frequency signals by putting the live line and the neutral line through the current transformer, which can effectively solve the problem of SAF features disappearing in the trunk-line current. However, similar to the traditional method, the effectiveness of the proposed coupling method could also be compromised when being used in cases with dimmer load and load starting process. This is found to be caused by the presence of high-amplitude pulse phenomenon in the non-arcing signals in these scenarios, which are incorrectly detected as arcing signals in other loads. To address this issue, a short-observation-window singular value decomposition and reconstruction algorithm (SOW-SVDR) is used to enhance the capability to identify SAFs by the coupling method. The proposed method has been implemented and validated according to UL1699 standard with different types of loads connected to the system and also tested under their starting processes. The experimental results show that the proposed approach is more effective in detecting arc faults compared with existing methods.

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Implementation AC Series Arc Fault Recognition using Mikrokontroller Based on Fast Fourier Transform

Cited by 18 publications

References 7 publications

Implementation of a Gas Leakage Detection System Using the MQ-6 Sensor

Implementation of a Gas Leakage Detection System Using the MQ-6 Sensor

Series Arc Fault Breaker in Low Voltage Using Microcontroller Based on Fast Fourier Transform

A Coupling Method for Identifying Arc Faults Based on Short-Observation-Window SVDR

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