Model-based and data-driven prognostics under different available information

Probabilistic Engineering Mechanics

Volumn 32, Issue , 2013, Pages 66-79

  Baraldi, Piero ^a   Cadini, Francesco ^a   Mangili, Francesca ^a   Zio, Enrico ^a,b  

^a POLITECNICO DI MILANO   (Italy)

^b ECOLE CENTRALE PARIS   (France)

Author keywords

Bootstrapped ensemble; Creep; Particle filtering; Prognostics; Turbine blade

Indexed keywords

A-PARTICLES; BOOTSTRAP METHOD; BOOTSTRAPPED ENSEMBLE; DATA-DRIVEN PROGNOSTICS; DEGRADATION PROCESS; EMPIRICAL MODEL; INFORMATION SETTING; INFORMATION SOURCES; METHODOLOGICAL CONTRIBUTIONS; MODEL DEVELOPMENT; PARTICLE FILTERING; PHYSICS-BASED MODELS; PROGNOSTIC APPROACH; PROGNOSTICS; REMAINING USEFUL LIFE PREDICTIONS; RUL PREDICTIONS; TURBINE BLADE;

CREEP; FORECASTING; INDUSTRIAL APPLICATIONS; MONTE CARLO METHODS; SIGNAL FILTERING AND PREDICTION; SYSTEMS ENGINEERING; TURBINES; TURBOMACHINE BLADES;

CONDITION MONITORING;

EID: 84874705806     PISSN: 02668920     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.probengmech.2013.01.003     Document Type: Article

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