数字双胞胎驱动的预测和工业资产的健康管理
Bin Xiao1, Jingshu Zhong1, Xiangyu Bao1
1School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Scientific reports
|June 11, 2024
概括
数字双胞胎 (DT) 提高了工业资产的预测和健康管理 (PHM). 这项研究系统地审查了DT应用,方法和PHM中的支持技术,以指导未来的研究.
科学领域:
- 工业工程 工业工程 工业工程
- 计算机科学 计算机科学
- 资产管理资产管理.
背景情况:
- 工业资产因故障而面临退化和故障,影响可靠性和维护成本.
- 数字双胞胎 (DT) 技术越来越多地用于增强预测和健康管理 (PHM) 战略.
- 目前缺乏对工业资产的DT驱动PHM应用和方法的系统审查.
研究的目的:
- 系统地分析和总结数字生应用在工业资产的预测和健康管理中的当前状态.
- 调查PHM中DT的核心机制和理论基础.
- 在PHM中探索和总结用于DT建模和系统实施的启用技术和工具.
主要方法:
- 对跨应用领域,各个方面和层次的PHM中DT应用的分析.
- 在PHM中深入研究DT的核心原则和机制.
- 审查和总结用于DT建模和系统开发的启用技术和工具.
主要成果:
- 在应用层 (领域,方面,层次) 中,在PHM中对DT应用进行分类.
- 在理论层阐明在PHM中DT的核心概念和操作机制.
- 确定和总结在PHM中实施DT所必需的关键技术和工具.
结论:
- 本文提供了针对工业资产的DT驱动PHM的全面概述.
- 它强调了当前的应用,理论基础和实施技术.
- 根据系统性审查,提出了未来的研究方向和建议.
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