Series Arc Fault Detection Algorithm Based on Autoregressive Bispectrum Analysis

Series Arc Fault Detection Algorithm Based on Autoregressive Bispectrum Analysis

Arc fault is one of the most critical reasons for electrical fires. Due to the diversity, randomness and concealment of arc faults in low-voltage circuits, it is difficult for general methods to protect all loads from series arc faults. From the analysis of many series arc faults, a large number of...

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Bibliographic Details
Main Authors: Kai Yang, Rencheng Zhang, Shouhong Chen, Fujiang Zhang, Jianhong Yang, Xingbin Zhang
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Algorithms
Subjects:
arc fault detection
autoregressive model
bispectrum analysis
Gaussian noise
high frequency signal
electrical fire
Online Access:http://www.mdpi.com/1999-4893/8/4/929

Internet

http://www.mdpi.com/1999-4893/8/4/929

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