Failure prediction of power cables using failure history and operational conditions
2015 IEEE 11th International Conference on the Properties and …, 2015•ieeexplore.ieee.org
This paper classifies the causes of cable failures according to two types: unpredictable
random causes; and predictable ageing effects. A piecewise power-law non-homogeneous
Poisson process and a stochastic electro-thermal model are proposed to predict total annual
failures and failures due specifically to ageing, respectively. An amalgamation of the two
models is then used to estimate the number of failures attributable to random causes or
ageing. The proposed method is successfully applied to real data of vintage unjacketed …
random causes; and predictable ageing effects. A piecewise power-law non-homogeneous
Poisson process and a stochastic electro-thermal model are proposed to predict total annual
failures and failures due specifically to ageing, respectively. An amalgamation of the two
models is then used to estimate the number of failures attributable to random causes or
ageing. The proposed method is successfully applied to real data of vintage unjacketed …
This paper classifies the causes of cable failures according to two types: unpredictable random causes; and predictable ageing effects. A piecewise power-law non-homogeneous Poisson process and a stochastic electro-thermal model are proposed to predict total annual failures and failures due specifically to ageing, respectively. An amalgamation of the two models is then used to estimate the number of failures attributable to random causes or ageing. The proposed method is successfully applied to real data of vintage unjacketed XLPE cables. The results show that these cables have an expected lifespan of 39 years based on ageing effects alone; however, failure of these cables is dominated by random failure modes such as manufacturing defects, sudden shock, or water and electrical tree, which cause many of these cables to fail earlier in their life.
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