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RUL Estimation Based on a Nonlinear Diffusion Degradation Process

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Data-Driven Remaining Useful Life Prognosis Techniques

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

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Abstract

Because of limited natural resources, considerably increased safety and environmental concerns, and the drive to reduce operating costs, critical assets need to be managed over their entire life cycles—from design, manufacture, sale, and operation to their end of life in order to optimize life cycle management and reduce negative impact on the environment [1, 2]. For safety-critical equipment, such as aviation control systems and nuclear power generators, the accurate and early estimation of failure is critical in order to avoid catastrophic events that may cause severe damage to equipment, loss of human lives, and environmental disasters.

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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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Si, XS., Zhang, ZX., Hu, CH. (2017). RUL Estimation Based on a Nonlinear Diffusion Degradation Process. 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_7

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  • DOI: https://doi.org/10.1007/978-3-662-54030-5_7

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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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