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Data-Driven Remaining Useful Life Prognosis Techniques pp 363–392Cite as

Reliability Estimation Approach for PMS

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Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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.

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Authors and Affiliations

  1. Department of Automation, Xi’an Institute of High-Technology, Xi’an, Shaanxi, China

    Xiao-Sheng Si, Zheng-Xin Zhang & Chang-Hua Hu

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  1. Xiao-Sheng Si
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  2. Zheng-Xin Zhang
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  3. Chang-Hua Hu
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Correspondence to Xiao-Sheng Si .

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© 2017 National Defense Industry Press and Springer-Verlag GmbH Germany

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Si, XS., Zhang, ZX., Hu, CH. (2017). Reliability Estimation Approach for PMS. In: Data-Driven Remaining Useful Life Prognosis Techniques. Springer Series in Reliability Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54030-5_13

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  • DOI: https://doi.org/10.1007/978-3-662-54030-5_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-54028-2

  • Online ISBN: 978-3-662-54030-5

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