A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics
type: Dataset
description: International audience
issued: 2026-05-15T05:02:31.059198
language: en
modified: 2026-05-15T05:02:31.059202
contact point: Organization
  fn: CCSD
keyword: creep
keyword: ensemble
keyword: infoeu-reposemanticsarticle
keyword: journal-articles
keyword: kalman-filter
keyword: prognostics-and-health-management
keyword: spiotherengineering-sciences-physicsother
landing page: 0018-9529

A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics
type: Distribution
format: HTML
issued: 2026-05-15T05:02:31.076830
modified: 2026-05-15T05:02:31.043257
access URL: https://centralesupelec.hal.science/hal-00777665

test_moissonnage_selune
type: Agent