A new algorithm for prognostics using subset simulation

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A new algorithm for prognostics using subset simulation

This work presents an efficient computational framework for prognostics by combining the particle filter-based prognostics principles with the technique of Subset Simulation, first developed in S.K. Au and J.L. Beck [Probabilistic Engrg. Mech., 16 (2001), pp. 263-277], which has been named PFP-SubSi...

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Bibliographic Details
Main Authors:	Chiachío, Manuel, Chiachío, Juan, Sankararaman, Shankar, Goebel, Kai, Andrews, John
Format:	Article
Published:	Elsevier 2017
Subjects:	Prognostics; Rare events; Stochastic modeling; Subset Simulation
Online Access:	https://eprints.nottingham.ac.uk/43419/

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