Automotive powertrain reliability modelling using an idea algebra

Andas Amrin, Christos Spitas, Georgios Vasileiou, Vasileios Spitas

Research output: Contribution to journalArticle

Abstract

This paper presents a reliability modelling framework for automotive powertrains using a specially developed algebra, where all powertrain components and design and performance parameters are represented as formal computational objects of an idea class. Unlike previous known frameworks for reliability modelling, such as FMEA, FTA or FBS, the present study constructs the reliability model of a given powertrain topology from the topology only and does not require manual input of constitutive/performance equations, or the definition of a hierarchy of failure events. This tool is particularly useful in early stages of the design process, where the reliability of several alternative topologies may need to be evaluated a priori but a full-scale FMEA, FTA or FBS analysis would be impractical.

Original languageEnglish
Pages (from-to)191-223
Number of pages33
Journal[No source information available]
Volume8
Issue number3
DOIs
Publication statusPublished - 2019

Keywords

  • FBS
  • FMEA
  • FTA
  • Fault tree analysis
  • Function-behaviour-state
  • Idea algebra
  • Reliability analysis
  • Risk assessment

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Automotive powertrain reliability modelling using an idea algebra'. Together they form a unique fingerprint.

  • Cite this