PHM简介

M. Pecht, Myeongsu Kang
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引用次数: 4

摘要

预测和系统健康管理(PHM)是评估产品退化和可靠性的一个多方面的学科。本章提供了对产品的预测和健康监测的基本理解,以及为实现电子产品的预测而开发的技术。PHM由传感、异常检测、诊断、预测和决策支持组成。为了实现PHM,我们研究了失效物理(PoF)、金丝雀、数据驱动和基于融合的方法。本章解释了每一种方法。然后介绍了使用这些方法的各种应用程序,并讨论了如何在系统的系统中实现PHM。本章进一步介绍了基于物联网(IoT)的PHM在工业应用中的机会。关键结论是,基于物联网的PHM预计将对可靠性评估、预测和风险缓解的实施产生重大影响,并创造新的商业机会。
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Introduction to PHM
Prognostics and systems health management (PHM) is a multifaceted discipline for the assessment of product degradation and reliability. This chapter provides a basic understanding of prognostics and health monitoring of products and the techniques being developed to enable prognostics for electronic products. PHM consists of sensing, anomaly detection, diagnostics, prognostics, and decision support. To enable PHM, the physics‐of‐failure (PoF)‐, canary‐, data‐driven‐, and fusion‐based approaches have been studied. The chapter explains each of these approaches. It then presents various applications using these approaches and discusses how to implement PHM in a system of systems. The chapter further introduces the opportunities of Internet of Things (IoT)‐based PHM for industrial applications. The key conclusion is that IoT‐based PHM is expected to have considerable influence on the implementation of reliability assessment, prediction and risk mitigation, and create new business opportunities.
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