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A Real-Time Variable Cost-Based Maintenance Model

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Data-Driven Remaining Useful Life Prognosis Techniques

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

Abstract

With advances in condition monitoring technologies, the past decade has witnessed an increasingly growing research interest on various aspects of degradation modeling for prognostics from the observed signals by dedicated sensors [1,2,3,4].

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References

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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). A Real-Time Variable Cost-Based Maintenance Model. 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_14

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  • DOI: https://doi.org/10.1007/978-3-662-54030-5_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-54028-2

  • Online ISBN: 978-3-662-54030-5

  • eBook Packages: EngineeringEngineering (R0)

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