Ensemble neural network-based particle filtering for prognostics

Mechanical Systems and Signal Processing

Volumn 41, Issue 1-2, 2013, Pages 288-300

  Baraldi, P ^a   Compare, M ^a   Sauco, S ^a   Zio, E ^a,b  

^a POLITECNICO DI MILANO   (Italy)

^b ECOLE CENTRALE PARIS   (France)

Author keywords

Ensemble of neural networks; Filtering; Particle; Prediction interval; Prognostics

Indexed keywords

DEGRADATION PROCESS; EMPIRICAL MEASUREMENT; MEASUREMENT ACQUISITION SYSTEM; MODEL DRIVEN APPROACH; PREDICTION INTERVAL; PROGNOSTICS; RESIDUAL USEFUL LIVES; STOCHASTIC FATIGUE CRACK GROWTH MODELS;

FILTRATION; FORECASTING; MONTE CARLO METHODS; NEURAL NETWORKS; PARTICLES (PARTICULATE MATTER); SIGNAL FILTERING AND PREDICTION; SYSTEMS ENGINEERING;

STOCHASTIC MODELS;

EID: 84885647697     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.07.010     Document Type: Article

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