Fully Adaptive Particle Filtering Algorithm for Damage Diagnosis and Prognosis

Fully Adaptive Particle Filtering Algorithm for Damage Diagnosis and Prognosis

A fully adaptive particle filtering algorithm is proposed in this paper which is capable of updating both state process models and measurement models separately and simultaneously. The approach is a significant step toward more realistic online monitoring or tracking damage. The majority of the exis...

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Bibliographic Details
Main Authors: Elaheh Rabiei, Enrique Lopez Droguett, Mohammad Modarres
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Entropy
Subjects:
fully adaptive particle filtering
cross entropy method
relative entropy
Kullback–Leibler divergence
adaptive measurement model
diagnosis and prognosis
composite degradation
Online Access:http://www.mdpi.com/1099-4300/20/2/100

Internet

http://www.mdpi.com/1099-4300/20/2/100

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