Prognostic and health management of wheel condition : integration of wheel defect detection and wheel profile monitoring data

Projekt:

JVTC

Sammanfattning:
The need for proactive maintenance is increasing within railway
infrastructure management due to the capacity requirement. The
business environment of railway transport could be described as a
multi-stakeholder model which requires intelligent infrastructure
with monitoring capability of the operation to facilitate
sustainable transport system. The demand to support and extend
the design life time of railway infrastructure as well as their
dependability during the life is also another concern which
requires adequate management of the maintenance process. An
approach to meet this challenge and demands is implementing
proactive maintenance strategy, in which prognostic health
management of wheel condition is an integral part. This article
presents different monitoring system deployed in the railway
transport, the monitoring system include wayside and on-board
equipment. A case study of the wheel defects records from the
detection system on the iron ore line of the Swedish transport
administration is presented where the trends are shown and
analysed. The development of the wheel condition monitoring,
from only wheel defects detection to both wheel defects detection
and wheel profile measurement is discussed. Finally the need for
e-maintenance solution, to facilitate the anticipated prognostic
aspect in wheel condition measurement is elaborated. This will
support effective maintenance decisions that are required for a
competitive and sustainable transport system which in turn
enhances inherent network capacity.

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Författare: Matthias Asplund ; Stephen Mayowa Famurewa ; Matti Rantatalo
Utgivare: Luleå tekniska universitet
Utgivningsdatum: 2012
Diarienummer: TRV 2011/58769
ISBN: 978-91-7439-539-6
Antal sidor: 8
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs