Title :
The influence estimation of aging factor in MV cable using Weibull distribution and Neural Networks
Author :
Kim Sung-min ; Jang-seob Lim ; Beong-suk Kim ; Jin Lee ; Won-suck Choi ; Kun-ho Lee ; Yeon-ha Jung ; Tae-Wan Kim
Abstract :
Transition from TBM(Time-Based Maintenance) to CBM(Condition-Based Maintenance) is required on maintenance method of cable. For maximize the cable maintenance efficiency, sequential reinforcement standards must establish in accordance with estimation of aging factor. This paper estimates that each aging factor has an effect on the cable status using the Weibull distribution and Neural Networks.
Keywords :
Weibull distribution; ageing; maintenance engineering; neural nets; power cables; power engineering computing; CBM; MV cable; TBM; Weibull distribution; aging factor estimation; cable maintenance efficiency; cable maintenance method; condition-based maintenance; medium-voltage cables; neural networks; sequential reinforcement standards; time-based maintenance; Aging; Artificial neural networks; Estimation; Monitoring; Power cables; Aging Factor; NDIS; Neural Networks; SCADA; SOMAS; Weibull distribution;
Conference_Titel :
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1019-2
DOI :
10.1109/CMD.2012.6416382
