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Analysis for Influence of Maintenance and Manufacturing Quality on Reliability of Repairable Systems

In: Advances in Reliability and Maintainability Methods and Engineering Applications

Author

Listed:
  • Renyan Jiang

    (Wenzhou University)

  • Wei Xue

    (Wenzhou University)

  • Yu Cao

    (Wenzhou University)

Abstract

Reliability of a repairable system is usually modeled by a failure point process with system age as underlying variable. The system may undergo a reliability improvement process due to possible technology upgrades as well as manufacturing or/and maintenance quality improvement. New methods are needed to evaluate their influence on the reliability. This chapter aims to address this issue through introducing a maintenance experience measure and concept of system technology age. They are used as the underlying variables to analyze the influence of the maintenance and manufacturing quality on the reliability, respectively. A signal-to-noise-ratio-based cluster analysis approach is also proposed to identify the change point of a function. The proposed approach can be used to determine whether or not the system undergoes a reliability growth. These concepts, approach and their appropriateness are illustrated through analyzing a real-world example that deals with a fleet of air conditioning systems of jet airplanes. The results show that the maintenance quality is poor and the fleet may undergo a reliability growth due to manufacturing quality improvement rather than due to technology upgrade.

Suggested Citation

  • Renyan Jiang & Wei Xue & Yu Cao, 2023. "Analysis for Influence of Maintenance and Manufacturing Quality on Reliability of Repairable Systems," Springer Series in Reliability Engineering, in: Yu Liu & Dong Wang & Jinhua Mi & He Li (ed.), Advances in Reliability and Maintainability Methods and Engineering Applications, pages 385-403, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-28859-3_15
    DOI: 10.1007/978-3-031-28859-3_15
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