Optimal Design of a Band Pass Filter and an Algorithm for Series Arc Detection

Hong-Keun Ji, Guoming Wang, Woo-Hyun Kim and Gyung-Suk Kil
Additional contact information
Hong-Keun Ji: Physical Engineering Division, National Forensic Service, Daegu 39872, Korea
Guoming Wang: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
Woo-Hyun Kim: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
Gyung-Suk Kil: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea

Energies, 2018, vol. 11, issue 4, 1-13

Abstract: Detection and analysis of series arcs is significantly meaningful for preventing arc-caused electrical fires in advance. However, the improvement of arc detection sensitivity and the discrimination of arc conditions are still challenges when developing an arc fault detector. In this paper, arc signals in various loads with three major incomplete connection states were detected and further analyzed using the discrete wavelet transform. It was verified that the db13 was the optimal mother wavelet to analyze the arc pulses and the decomposed signals in the detail components of D5, D6, D7, and D8 were related with arc phenomena. Therefore, a band pass filter with a frequency from 2.4 to 39 kHz was designed, which can extract arc signals while eliminating the AC mains current and noise generated in loads. By investigating the arc signal energy as well as the arc pulse counts that were important parameters of arc occurrence, an arc diagnosis algorithm was developed based on LabVIEW program for electrical fire prevention.

Keywords: series arc; electrical fires prevention; discrete waveform transform; arc detection filter; signal energy; arc diagnosis algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/4/992/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/4/992/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:4:p:992-:d:142077

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().