Detection of arcing fault in underground distribution cable using artificial neural network
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...
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| Format: | Thesis |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| 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 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |