Integrated mission reliability modeling based on extended quality state task network for intelligent multistate manufacturing systems

  • Xiuzhen Yang
  • , Yihai He
  • , Ruoyu Liao
  • , Yuqi Cai
  • , Jun Ai*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The quality of produced WIP(work-in-process) is the direct indicator of operational reliability of manufacturing system. To assure the predictability of the reliability of finished products is the paramount goal for the operation and maintenance of intelligent manufacturing systems. Therefore, a novel integrated mission reliability modeling approach based on extended quality state task network (EQSTN) for intelligent multistate manufacturing systems is proposed in this paper. First, to guarantee the reliability of final produced products, the relationship between the manufacturing system reliability and the produced product reliability is explained from the systematic perspective. The connotation of integrated mission reliability of intelligent multistate manufacturing systems is also provided. Second, an EQSTN is proposed based on operational quality data by extending the traditional dimensional conformance quality to functional fitness quality. Third, based on the established EQSTN, an integrated mission reliability modeling approach is proposed to quantitate the operational healthy state of the intelligent manufacturing system dynamically. Finally, a case study of an intelligent multistate manufacturing system for a ball screw pair is conducted to verify the proposed approach.

Original languageEnglish
Article number108495
JournalReliability Engineering and System Safety
Volume223
DOIs
StatePublished - Jul 2022

Keywords

  • EQSTN
  • Functional fitness quality
  • Infant failure rate
  • Integrated mission reliability
  • Intelligent multistate manufacturing systems

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