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Engineering Design under Uncertainty and Health Prognostics pp 233–301Cite as

Time-Dependent Reliability Analysis in Operation: Prognostics and Health Management

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Abstract

Over the past few decades, rapid adoption of sensing, computing, and communications technologies has created one of the key capabilities of modern engineered systems: the ability to—at a low cost—to gather, store, and process large volumes of sensor data from an engineered system during operation.

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Notes

  1. 1.

    The term “online” indicates a state where a (testing) system unit is operating in the field and its RUL is unknown and needs to be predicted.

  2. 2.

    The term “offline” indicates a state where a (training) system unit is operating in the lab or field and often runs to failure (thus, its RUL at any time is known) prior to the operation of any system units online.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Iowa State University, Ames, IA, USA

    Chao Hu

  2. Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA

    Chao Hu

  3. School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea (Republic of)

    Byeng D. Youn

  4. Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA

    Pingfeng Wang

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  1. Chao Hu
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Hu, C., Youn, B.D., Wang, P. (2019). Time-Dependent Reliability Analysis in Operation: Prognostics and Health Management. In: Engineering Design under Uncertainty and Health Prognostics. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-92574-5_8

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