Ensemble neural network-based particle filtering for prognostics

Particle Filtering (PF) is used in prognostics applications by reason of its capability of robustly predicting the future behavior of an equipment and, on this basis, its Residual Useful Life (RUL). It is a model-driven approach, as it resorts to analytical models of both the degradation process and...

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Veröffentlicht in:	Mechanical systems and signal processing 2013-12, Vol.41 (1-2), p.288-300
Hauptverfasser:	Baraldi, P., Compare, M., Sauco, S., Zio, E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Degradation Engineering Sciences Ensemble of neural networks Filtering Filtration Mathematical analysis Mathematical models Mechanical systems Mechanics Neural networks Particle Filtering Prediction interval Prognostics Trains
Online-Zugang:	Volltext
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