Predicting component reliability and level of degradation with complex-valued neural networks

Reliability Engineering and System Safety

Volumn 121, Issue , 2014, Pages 198-206

  Fink, Olga ^a   Zio, Enrico ^b,c   Weidmann, Ulrich ^a  

^a ETH ZURICH   (Switzerland)

^b EDF R AND D   (France)

^c POLITECNICO DI MILANO   (Italy)

Author keywords

Complex valued neural networks; Level of degradation Railway turnout system; Neural networks; Reliability prediction

Indexed keywords

BENCHMARKING; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; NEURAL NETWORKS; RAILROADS; RELIABILITY; TIME SERIES;

COMPLEX-VALUED NEURAL NETWORKS; COMPONENT RELIABILITY; DEGRADATION PREDICTIONS; LONG-TERM PREDICTION; MULTILAYER FEEDFORWARD NEURAL NETWORKS; PREDICTION PRECISION; RAILWAY TURNOUT SYSTEMS; RELIABILITY PREDICTION;

FORECASTING;

EID: 84884786395     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2013.08.004     Document Type: Article

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