Abstract :
A low cost method to prioritize circuit rehabilitation efforts is described and illustrated with a decade of field failure data, covering over 18,000 km of cable installed over three decades.
Keywords :
fault diagnosis; optimisation; power cable testing; stochastic processes; off-line diagnostic devices; optimum resource allocations; roadmap; statistics; stochastic cable diagnostic testing; strategic resource optimization; thermodynamic second law; Adders; Cables; Chemicals; Circuits; Foot; Least squares approximation; Least squares methods; Stochastic processes; Testing; Time measurement; XLPE cables, rehabilitation, diagnostic, testing, reliability, Crow-AMSAA;
