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Global Sensitivity Analysis applied to Model Inversion Problems: A Contribution to Rail Condition Monitoring

Schenkendorf, René and Groos, Jörn C. (2015) Global Sensitivity Analysis applied to Model Inversion Problems: A Contribution to Rail Condition Monitoring. International Journal of Prognostics and Health Management Verlag: phm society, 6 (Sp4). The Prognostics and Health Management Society. ISSN 2153-2648.

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Official URL: https://www.phmsociety.org/references/ijphm-archives/2015/Sp4

Abstract

Rising demands on railroad infrastructure operator by means of profitability and punctuality call for advanced concepts of Prognostics and Health Management. Condition based preventive maintenance aims at strengthening the rail mode of transport through an optimized scheduling of maintenance actions based on the actual and prognosticated infrastructure condition, respectively. When applying model-based algorithms within the framework of Prognostics and Health Management unknown model parameters have to be identified first. Which of these parameters should be known as precisely as possible can be figured out systematically by a sensitivity analysis. A comprehensive global sensitivity analysis, however, might be prohibitive by means of computation load when standard algorithms are implemented. In this study, it is shown how global parameter sensitivities can be calculated efficiently by combining Polynomial Chaos Expansion and Point Estimate Method principles. The proposed framework is demonstrated by a model inversion problem which aims to recalculate the track quality by measurements of the vehicle acceleration, i.e. analyzing the dynamic railway track-vehicle interaction.

Item URL in elib:https://elib.dlr.de/96495/
Document Type:Article
Title:Global Sensitivity Analysis applied to Model Inversion Problems: A Contribution to Rail Condition Monitoring
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schenkendorf, Renérene.schenkendorf (at) dlr.deUNSPECIFIED
Groos, Jörn C.Joern.Groos (at) dlr.deUNSPECIFIED
Date:May 2015
Journal or Publication Title:International Journal of Prognostics and Health Management Verlag: phm society
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:6
Publisher:The Prognostics and Health Management Society
Series Name:Special Issue on Uncertainty
ISSN:2153-2648
Status:Published
Keywords:Track Monitoring, Prognostics and Health Management, Railway Systems, Condition Based Monitoring, Sensitivity Analysis, Inverse Simulation, Polynomial Chaos Expansion
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - TrackScan (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Railway System
Deposited By: Schenkendorf, Rene
Deposited On:08 Jun 2015 11:01
Last Modified:11 Jun 2021 04:12

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