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Reliability Estimation Approach for PMS

In: Data-Driven Remaining Useful Life Prognosis Techniques

Author

Listed:
  • Xiao-Sheng Si

    (Xi’an Institute of High-Technology)

  • Zheng-Xin Zhang

    (Xi’an Institute of High-Technology)

  • Chang-Hua Hu

    (Xi’an Institute of High-Technology)

Abstract

Many complex systems are designed to perform missions that consist of several phases in which the deterioration and configuration of systems may change from phase to phase. These systems are called phased-mission systems (PMSs) [1]. PMSs are formally defined to be the systems subject to multiple, consecutive, nonoverlapping phases of operation required to finish the final product or service [2]. A typical PMS is the on-board systems for the aided guide of aircraft, whose mission consists of takeoff, ascent, cruise, approach, and landing phases. For mission success, all phases must be completed without failure. Other PMSs include safety-critical systems (such as aerospace systems and weapon systems), and modern manufacturing processes (e.g., assembly, machining, semiconductor fabrication, and pharmaceutical manufacturing) [3]. As an important measure for system design, operation, and maintenance of PMSs [4, 5], reliability can be used to quantify the performance of PMSs. Accurate estimation of the reliability is very helpful for efficient maintenances and logistic supports of such systems, which actually lead to lifecycle cost reduction and the avoidance of catastrophic failures.

Suggested Citation

  • Xiao-Sheng Si & Zheng-Xin Zhang & Chang-Hua Hu, 2017. "Reliability Estimation Approach for PMS," Springer Series in Reliability Engineering, in: Data-Driven Remaining Useful Life Prognosis Techniques, chapter 0, pages 363-392, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-662-54030-5_13
    DOI: 10.1007/978-3-662-54030-5_13
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