Home > Publications
Home University of Twente
Prospective Students
Intranet (internal)

EEMCS EPrints Service

27073 Reliability-centered maintenance of the Electrically Insulated Railway Joint via Fault Tree Analysis: A practical experience report
Home Policy Brochure Browse Search User Area Contact Help

Ruijters, E.J.J. and Guck, D. and van Noort, M. and Stoelinga, M.I.A. (2016) Reliability-centered maintenance of the Electrically Insulated Railway Joint via Fault Tree Analysis: A practical experience report. In: Proceedings of the 46th annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016, 28 Jun - 01 Jul 2016, Toulouse, France. pp. 662-669. IEEE Computer Society. ISBN 978-1-4673-8891-7

Full text available as:

PDF (Final published version)
- Univ. of Twente only
259 Kb
PDF (Accepted manuscript)

1838 Kb

Official URL:


Maintenance is an important way to increase system dependability: timely inspections, repairs and renewals can significantly increase a system’s reliability, availability and life time. At the same time, maintenance incurs costs and planned downtime. Thus, good maintenance planning has to balance between these factors.

In this paper, we study the effect of different maintenance strategies on the electrically insulated railway joint (EI-joint), a critical asset in railroad tracks for train detection, and a relative frequent cause for train disruptions. Together with experts in maintenance engineering, we have modeled the EI-joint as a fault maintenance tree (FMT), i.e. a fault tree augmented with maintenance aspects. We show how complex maintenance concepts, such as condition-based maintenance with periodic
inspections, are naturally modeled by FMTs, and how several key performance indicators, such as the system reliability, number of failures, and costs, can be analysed.

The faithfulness of quantitative analyses heavily depend on the accuracy of the parameter values in the models. Here, we have been in the unique situation that extensive data could be collected, both from incident registration databases, as well as from interviews with domain experts from several companies. This made that we could construct a model that faithfully predicts the expected number of failures at system level.

Our analysis shows that that the current maintenance policy is close to cost-optimal. It is possible to increase joint reliability, e.g. by performing more inspections, but the additional maintenance costs outweigh the reduced cost of failures.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-FMT: Formal Methods and Tools
Research Program:CTIT-General
Research Project:ArRangeer: smARt Railroad maintenance eNGinEERing with stochastic model checking
Uncontrolled Keywords:Fault tree analysis, Maintenance, Statistical model checking, Fault maintenance trees
ID Code:27073
Deposited On:20 July 2016
More Information:statistics

Export this item as:

To request a copy of the PDF please email us request copy

To correct this item please ask your editor

Repository Staff Only: edit this item