Abstract
Electrical arc or arcing is one of the most causes of fire events. Arcing that occurred at a short duration time can cause sparks that can trigger a fire. Series arcing is initiated by not tighten the connection. When series arcing occurred, high-frequency noise current is increasing. This current usually only occurs in a short duration of time. In this study, the detection of low voltage series arcing is designed based on Fast Fourier Transform (FFT) analysis and high-frequency exploration. The series arcing is varied by network impedance and electrode distance. The NI DAQ 9246 module used for data acquisition of current waves. An arcing detector is designed using a microcontroller based on high-frequency analysis. The current waveform is processed into a frequency domain using the FFT method. The arcing detector device is categorized network operation into three conditions: normal operation, load switching, and arcing. Based on the test results, the network impedance does not affect the detection performance, while the electrode distance affects the arcing severity.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
