Bayesian Integrated Reliability Analysis for Locomotive Wheels

Projekt:

JVTC

Sammanfattning:
Currently, the railway industry does not have a
flexible decision support strategy for maintenance
strategies optimization due to three defects in
reliability studies: 1) Small sample data for
analysis;2) Incomplete data set;3) Complex
operational environments. This study aims to develop
new models for integrated reliability analysis, by
which to support decision making on maintenance
strategies optimization. So far, both parametric
Bayesian models (see Part A) and semi-parametric
models (see Part B) considering frailty factors have
been developed. Case studies on locomotive wheels
reliability studies were performed within the
framework of R&D program of Luleå Railway
Research Center (JVTC) and financially supported by
Swedish Transport Administration (Trafikverket), and
a leading Iron Ore company LKAB which owns and
maintains its own fleet of trains used for ore transport.

Författare: Jing Lin
Utgivare: ESRA
Utgivningsdatum: 2013-06
Diarienummer: TRV 2011/58769
Antal sidor: 3
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs