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Remaining Useful Life as Prognostic Approach: A Review

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Human Systems Engineering and Design (IHSED 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 876))

Abstract

Prognostics is the process of predicting a lifetime point when a system or its component is not able to complete its proposed function. The time from the current time to the time of a failure is recognized as Remaining Useful Life (RUL). Such predictions are typically done with the application of model-based, data-driven, and hybrid-based approaches, to manage product support systems, structures, and infrastructures more safely and efficiently. In this paper the attention is exactly paid to their classifications and practical applications.

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Author information

Authors and Affiliations

  1. Faculty of Engineering Management, Poznan University of Technology, ul. Strzelecka 11, 60-965, Poznan, Poland

    Beata Mrugalska

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  1. Beata Mrugalska
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Correspondence to Beata Mrugalska .

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Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Université de Reims Champagne-Ardenne, Reims, France

    Redha Taiar

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Mrugalska, B. (2019). Remaining Useful Life as Prognostic Approach: A Review. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_105

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