FPGA-based degradation and reliability monitor for underground cables

Unai Garro, Eñaut Muxika, Jose Ignacio Aizpurua, Mikel Mendicute

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
18 Downloads (Pure)


The online RUL estimation of underground cables and their reliability analysis requires obtaining the cable failure time probability distribution. MC simulations of complex thermal heating and electro-thermal degradation models can be employed for this analysis, but uncertainties need to be considered in the simulations, to produce accurate RUL expectation values and confidence margins for the results. The process requires performing large simulation sets, based on past temperature or load measurements and future load predictions. FPGA permit accelerating simulations for live analysis, but the thermal models involved are complex to be directly implemented in hardware logic. A new standalone FPGA architecture has been proposed for the fast and on-site degradation and reliability analysis of underground cables, based on MC simulation, and the effect of load uncertainties on the predicted cable EOL has been analyzed from the results.

Original languageEnglish
Article number1995
Number of pages27
Issue number9
Publication statusPublished - 28 Apr 2019


  • cable insulation
  • field programmable gate arrays (FPGA)
  • monitoring
  • reliability estimation


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