Unified Evaluation Framework for Stochastic Algorithms Applied to Remaining Useful Life Prognosis Problems

Unified Evaluation Framework for Stochastic Algorithms Applied to Remaining Useful Life Prognosis Problems

A unified evaluation framework for stochastic tools is developed in this paper. Firstly, we provide a set of already existing quantitative and qualitative metrics that rate the relevant aspects of the performance of a stochastic prognosis algorithm. Secondly, we provide innovative guidelines to dete...

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Bibliographic Details
Main Authors: Mikel Arrinda, Mikel Oyarbide, Haritz Macicior, Eñaut Muxika
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Batteries
Subjects:
prognosis
stochastic algorithm
particle filter
evaluation metric
uncertainty propagation
Online Access:https://www.mdpi.com/2313-0105/7/2/35

Internet

https://www.mdpi.com/2313-0105/7/2/35

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