Data Analysis of Heavy Haul Locomotive Wheel-sets’ Running Surface Wear at Malmbanan

Projekt:

JVTC

Sammanfattning:
In this research, both an integrated procedure for Bayesian reliability inference using Markov Chain Monte Carlo (MCMC) and other traditional statistics theories (incl., reliability analysis, degradation analysis, Accelerated Life Tests (ALT), Design of Experiments (DOE)) are applied to a number of case studies using heavy haul locomotive wheel-sets’ running surface wear data from Iron Ore Line (Malmbanan), Sweden. The research explores the impact of the locomotive wheel-sets’ installed position (incl. positions of the installed locomotive, bogie, axel.) on their service lifetime and attempts to predict the reliability related characteristics. Results from this research will support locomotive wheels’ maintenance strategies using data analysis of wheels’ running surface wear.

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Författare: Jing Lin
Utgivare: Luleå tekniska universitet
Utgivningsdatum: 2014
Diarienummer: TRV 2011/58769
ISBN: 978-91-7439-898-4
Antal sidor: 122
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs