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Prognostics and Health Management

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Book cover Risk-Based Engineering

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

Abstract

Nuclear power, with over 430 nuclear power plants (NPPs) operating around the world, is the source of about 17% of the world’s electricity. The nuclear industry has arrived at a point where it is dealing with two major issues. First, it must address life extension for legacy units while complying with present-day safety regulations. Second, new systems must be designed with enhanced safety features so that the core damage frequency meets the target of 10−6 failures per reactor-year or less.

The effectiveness to be aimed at calls for the application and refinement of all conceivable prognostic techniques for adding to knowledge of the future, including those which can be effectively developed over an ever-wider time scale.

—Fred Polak (1971) Prognostics, pp. 65–66

This chapter is a revised and updated version of paper entitled “Role of Prognostics in Support of Integrated Risk-based Engineering in Nuclear Power Plant Safety” by P. V. Varde and Michael Pecht (2002), published in the International Journal of Prognostics and Health Management (ISSN 2153-2648), PHM Society.

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Notes

  1. 1.

    PCA is identical to the traditional technique for multi-dimensional scaling called “classical scaling.”

  2. 2.

    A manifold is a topological space that locally resembles Euclidean space near each point. More precisely, each point of ann-dimensional manifold has a neighborhood that is homeomorphic to the Euclidean space of dimension. In this more precise terminology, a manifold is referred to as ann-manifold.

  3. 3.

    The classification task is further divided into a binary classification task and a multi-class classification task based on the number of classes it addresses. For example, if the diagnostic system is used to identify whether the product is healthy or not, this would be treated as a binary classification task. On the other hand, if the diagnostic system is used to pinpoint multiple failure modes or failure mechanisms of the product, this would be treated as a multi-class classification task.

  4. 4.

    The upper and lower failure thresholds can also be specified by standards, historical data, and so forth.

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Authors and Affiliations

  1. Research Reactor Services Division, Homi Bhabha National Institute, Bhabha Atomic Research Centre, Mumbai, India

    Prabhakar V. Varde

  2. Center for Advanced Life Cycle Engineering, University of Maryland, College Park, MA, USA

    Michael G. Pecht

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  1. Prabhakar V. Varde
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  2. Michael G. Pecht
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Correspondence to Prabhakar V. Varde .

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Varde, P.V., Pecht, M.G. (2018). Prognostics and Health Management. In: Risk-Based Engineering. Springer Series in Reliability Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-0090-5_13

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  • DOI: https://doi.org/10.1007/978-981-13-0090-5_13

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