TY - JOUR
T1 - FPGA-based degradation and reliability monitor for underground cables
AU - Garro, Unai
AU - Muxika, Eñaut
AU - Aizpurua, Jose Ignacio
AU - Mendicute, Mikel
PY - 2019/4/28
Y1 - 2019/4/28
N2 - 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.
AB - 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.
KW - cable insulation
KW - field programmable gate arrays (FPGA)
KW - monitoring
KW - reliability estimation
UR - http://www.scopus.com/inward/record.url?scp=85065498902&partnerID=8YFLogxK
UR - https://www.mdpi.com/journal/sensors
U2 - 10.3390/s19091995
DO - 10.3390/s19091995
M3 - Article
C2 - 31035420
AN - SCOPUS:85065498902
SN - 1424-8220
VL - 19
JO - Sensors
JF - Sensors
IS - 9
M1 - 1995
ER -