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Prognostics and health management design for rotary machinery systems-Reviews, methodology and applications

机译:旋转机械系统的预测和健康管理设计-审查,方法和应用

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Much research has been conducted in prognostics and health management (PHM), an emerging field in mechanical engineering that is gaining interest from both academia and industry. Most of these efforts have been in the area of machinery PHM, resulting in the development of many algorithms for this particular application. The majority of these algorithms concentrate on applications involving common rotary machinery components, such as bearings and gears. Knowledge of this prior work is a necessity for any future research efforts to be conducted; however, there has not been a comprehensive overview that details previous and on-going efforts in PHM. In addition, a systematic method for developing and deploying a PHM system has yet to be established. Such a method would enable rapid customization and integration of PHM systems for diverse applications. To address these gaps, this paper provides a comprehensive review of the PHM field, followed by an introduction of a systematic PHM design methodology, 5S methodology, for converting data to prognostics information. This methodology includes procedures for identifying critical components, as well as tools for selecting the most appropriate algorithms for specific applications. Visualization tools are presented for displaying prognostics information in an appropriate fashion for quick and accurate decision making. Industrial case studies are included in this paper to show how this methodology can help in the design of an effective PHM system.
机译:在机械工程中的一个新兴领域,即预测与健康管理(PHM)方面进行了许多研究,学术界和工业界都对此感兴趣。这些工作大部分都在机械PHM领域,从而导致了针对该特定应用的许多算法的开发。这些算法大多数都集中在涉及常见旋转机械组件(例如轴承和齿轮)的应用中。了解此先前的工作是将来进行任何研究工作的必要条件;但是,还没有全面的概述来详细介绍PHM的先前和正在进行的工作。此外,尚未建立用于开发和部署PHM系统的系统方法。这样的方法将使得能够针对各种应用快速定制和集成PHM系统。为了解决这些差距,本文对PHM领域进行了全面回顾,然后介绍了系统的PHM设计方法(5S方法),用于将数据转换为预测信息。该方法包括识别关键组件的过程,以及为特定应用选择最合适算法的工具。呈现了可视化工具,用于以适当的方式显示预测信息,以便快速准确地做出决策。本文包含工业案例研究,以说明该方法如何帮助设计有效的PHM系统。

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