Title :
Application of Artificial Neural Network in cable life time estimation and its failure rate per 100 km
Author :
Ranjbar, A.H. ; Adnani, R. ; Omranpour, H.
Author_Institution :
Elec. Eng. Dept., Amirkabir Univ. of Technol., Tehran
Abstract :
In this paper, cable life time and its failure rate per 100 km is estimated using artificial neural network (ANN). The only parameter effecting on cable life time and its failure is considered to be operating temperature but actually cable life time is affected by several parameters. The data required for training the network was extracted from previous works being done on cable life time estimation based on mathematical models. From experimental results obtained by the ANN, it was seen that ANN is an appropriate tool for cable life time and its failure rate estimation.
Keywords :
failure analysis; learning (artificial intelligence); life testing; neural nets; power cable testing; power engineering computing; reliability; ANN training; artificial neural network; cable life time estimation; distance 100 km; failure rate estimation; operating temperature; power cable reliability; Artificial neural networks; Cable insulation; Life estimation; Paramagnetic resonance; Power cable insulation; Power cables; Rapid thermal processing; Temperature; Thermal conductivity; Voltage; Artificial Neural Network (ANN); Cable life time; Failure rate; Operating temperature;
Conference_Titel :
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
Conference_Location :
Johor Bahru
Print_ISBN :
978-1-4244-2404-7
Electronic_ISBN :
978-1-4244-2405-4
DOI :
10.1109/PECON.2008.4762438
