Detection of arcing fault in underground distribution cable using artificial neural network

• Main Author: Chan, Wei Kian
• Format: Thesis
• Language: English
• Published: 2004
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/7994/1/ChanWeiKianMFKE2004.pdf; http://eprints.utm.my/id/eprint/7994/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:11515
• Institution: Universiti Teknologi Malaysia

Arcing faults can cause substantial damage if they are not detected and isolated promptly. Detection of arcing faults has always been a difficult issue. Those faults tend to be of high fault resistance and hence the fault current is well below maximum load limit and its detection is not possible thr...