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Uncertainty Analysis in Railway Asset Management using the Point-Estimate-Method

Neumann, Thorsten (2018) Uncertainty Analysis in Railway Asset Management using the Point-Estimate-Method. 1st European Railway Asset Management Symposium, 2018-03-27 - 2018-03-28, Nottingham, England.

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Preventive and condition-based maintenance of rail infrastructure is an important aspect in reducing interruptions and delays in train operations. In case of optimal implementation, it even helps to lower the overall maintenance costs by avoiding expensive instant repairs of sudden failures including possible incidental damages. For being effective in this context, asset managers need to estimate not only the current state of the rail infrastructure and its components but they also need to predict future conditions based on available data and measurements. Stochastic modelling has shown to be a promising way for tackling these tasks. However, uncertainties of the model results need to be evaluated then in order to make maintenance planning as solid as possible. Commonly, Monte Carlo (MC) simulations are used for analyzing the stochastic distributions of the model outputs whenever analytical solutions are not possible or difficult to obtain. In contrast to that, an interesting alternative for numerically deriving important statistical quantities related to the model results (such as mean or standard deviation) is given by the so-called Point Estimate Method (PEM). Depending on the details of the model under consideration, PEM can be shown to be even exact under certain constraints while often requiring just a small number of sample points to be evaluated. In contrast to that, the MC approach naturally yields approximate results only with a potential need for several hundred or thousand sample points in order to converge. The present contribution shortly reviews the mathematical background of PEM before demonstrating its performance based on three more or less academic examples from the wide field of railway asset management: i) track degradation, ii) reliability analysis of composite systems, iii) failure detection/identification using decision trees. Finally, advantages as well as limitations of the PEM approach in comparison to common MC simulations are discussed.

Item URL in elib:https://elib.dlr.de/115933/
Document Type:Conference or Workshop Item (Speech)
Title:Uncertainty Analysis in Railway Asset Management using the Point-Estimate-Method
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Neumann, ThorstenUNSPECIFIEDhttps://orcid.org/0000-0002-9236-0585UNSPECIFIED
Date:27 March 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Uncertainty, Point-Estimate-Method, Monte Carlo Simulation, Railway, Asset Management
Event Title:1st European Railway Asset Management Symposium
Event Location:Nottingham, England
Event Type:international Conference
Event Start Date:27 March 2018
Event End Date:28 March 2018
Organizer:University of Nottingham
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), V - Next Generation Railway Systems III (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Neumann, Dr.-Ing. Thorsten
Deposited On:11 Apr 2018 11:29
Last Modified:24 Apr 2024 20:20

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