Due to the advancements in sensing technologies and computational capabilities, system health assessment and prognostics have been extensively investigated in the literature. Industry has adopted and implemented many advanced system prognostic applications. This article reviews recent research advances and applications in prognostics modeling methods for engineering systems. The reviewed papers are classified into three major areas based on whether the physics of failure knowledge is incorporated for prognostics, i.e., the data-driven, physics-based, and hybrid prognostic methods. The technical merits and limitations of each prognostic method are discussed. This review also summarizes research and technological challenges in engineering system prognostics, and points out future research directions.

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工程系统预测方法综述

由于传感技术和计算能力的进步，系统健康评估和预测已在文献中得到广泛研究。工业界已经采用并实施了许多先进的系统预测应用。本文回顾了工程系统预测建模方法的最新研究进展和应用。根据故障知识的物理学是否被纳入预测，评论的论文分为三个主要领域，即数据驱动、基于物理学和混合预测方法。讨论了每种预后方法的技术优点和局限性。本综述还总结了工程系统预测的研究和技术挑战，并指出了未来的研究方向。