Reliability optimization allocation method for multifunction systems with multistate units based on goal-oriented methodology

Xiao Jian Yi, B. S. Dhillon, Jian Shi, Hai Na Mu*, Peng Hou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This paper proposes a new reliability optimization allocation for multifunction systems with multistate units based on goal-oriented (GO) methodology. First, this optimization allocation method is expounded in terms of establishing GO model, establishing reliability optimization allocation model, and solving algorithm. Then its process is formulated. Finally, the new method is applied in reliability optimization allocation of power-shift steering transmission (PSST), whose goal is to minimize the system cost. The results analysis shows that the system costs for different operation times turn to a relatively stable value, and the allocated reliability indices of unit are satisfied with engineering requirements. All in all, this new optimization allocation method can not only obtain the reasonable allocation results quickly and effectively, but it also can overcome the disadvantages of existing reliability optimization allocation methods for complex multifunction systems efficiently. In addition, the analysis process shows that the reliability optimization allocation method based on GO method can provide a new approach for the reliability optimization allocation of multifunction systems with multistate units.

Original languageEnglish
Article number041010
JournalASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume3
Issue number4
DOIs
Publication statusPublished - Dec 2017

Keywords

  • GO methodology
  • Genetic algorithm
  • Multifunction systems
  • Multistate unit
  • Reliability optimization allocation

Fingerprint

Dive into the research topics of 'Reliability optimization allocation method for multifunction systems with multistate units based on goal-oriented methodology'. Together they form a unique fingerprint.

Cite this