Title :
Study on electric arc´s on-line detection for low voltage switchbox based on information fusion
Author :
Lv Hui ; Yu Qiongfang ; Dong Aihua ; Zheng Dezhong
Author_Institution :
Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
Abstract :
The switch contacts and connection terminals of low voltage switchbox can arouse arc fault easily for the bad contact. The arc fault not only can affect the normal power supply, but also can arouse electrical fire probably. In order to check arc fault reliably, the arc voltage signal, current signal and arc light intensity signal are separately detected. These signals are soft decided by Bayesian based on information fusion, then the best judgment for arc fault is gained which is a good way to solve the contradiction between alarm sensitivity and false alarm rate. The arc fault on-line detection based on information fusion not only can check and forecast the electrical fault of low voltage switchbox, but also can early warn the hidden danger of electrical fire.
Keywords :
arcs (electric); sensor fusion; signal detection; switchgear; alarm sensitivity; arc fault; arc light intensity signal; arc voltage signal; connection terminals; electric arcs; electrical fire; false alarm rate; information fusion; low voltage switchbox; on-line detection; switch contacts and; Circuit faults; Contact resistance; Electrical fault detection; Fires; Low voltage; Power supplies; Resistance heating; Switches; Switching circuits; Temperature distribution; Bayesian; electric arc; information fusion; low voltage switchbox; on-line detection;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuha
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497805