Failure and reliability prediction by support vector machines regression of time series data

Reliability Engineering and System Safety

Volumn 96, Issue 11, 2011, Pages 1527-1534

  Moura, Márcio Das Chagas ^a   Zio, Enrico ^b,c   Lins, Isis Didier ^a   Droguett, Enrique ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b POLITECNICO DI MILANO   (Italy)

^c ECOLE CENTRALE PARIS   (France)

Author keywords

Learning methods; Support vector machines; Time series regression; Time to failure forecasting and reliability prediction

Indexed keywords

BOX-JENKINS; COMPARATIVE ANALYSIS; ENGINEERED COMPONENTS; INFINITE IMPULSE RESPONSE; KERNEL-BASED LEARNING; LEARNING METHODS; MULTI LAYER PERCEPTRON; RADIAL BASIS FUNCTIONS; REGRESSION PROBLEM; RELIABILITY APPLICATIONS; RELIABILITY PREDICTION; SUPPORT VECTOR; SUPPORT VECTOR MACHINES REGRESSION; TIME SERIES REGRESSION; TIME TO FAILURE; TIME-SERIES DATA;

FORECASTING; IMPULSE RESPONSE; MULTILAYER NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; RECURRENT NEURAL NETWORKS; REGRESSION ANALYSIS; RELIABILITY ANALYSIS; SUPPORT VECTOR MACHINES; TIME SERIES;

TIME SERIES ANALYSIS;

EID: 80052449651     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2011.06.006     Document Type: Article

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