Detection of Arc Fault on Low Voltage Power Circuit by Using Fuzzy Theory and Neural Network
碩士 === 國立臺灣科技大學 === 電機工程系 === 103 === The main purpose of this paper is to find the difference of current characteristics between arc fault and normal operation by using the arc fault experimental platform to gather characteristics of the load. This study proposed two detecting methods. First of all...
Main Authors: | Ming-Ghe Shih, 史明哲 |
---|---|
Other Authors: | Chi-Jui Wu |
Format: | Others |
Language: | zh-TW |
Published: |
2015
|
Online Access: | http://ndltd.ncl.edu.tw/handle/60375659724229303630 |
Similar Items
-
Detection of Serial Arc-Fault in Low Voltage Electric Power Circuit
by: Yu-Lun Chien, et al.
Published: (2011) -
Smart Detection of Series Arc Fault on Low Voltage Power Circuits
by: Shou-Chien Huang, et al.
Published: (2014) -
Signal Detection in Low Voltage Arc-Fault Circuit Interrupter
by: HUI-HSIANG CHENG, et al.
Published: (2010) -
FPGA-Based Chip Design for Detecting Serial Arcing Faults on Low Voltage Power Circuit
by: Jr-Yuan Ke, et al.
Published: (2015) -
Time Domain-Frequency Domain Analysis and Detection of Serial Arc-Fault on Low Voltage Power Circuit
by: Yi-Chieh Wang, et al.
Published: (2012)