Cyber-Physical Systems in Future Maintenance

Cyber-Physical Systems in Future Maintenance
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未来维护中的信息物理系统

DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
B. Bagheri
B. Bagheri
中科院分区：
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文献类型：
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作者：
Jay Lee;B. Bagheri

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在大数据环境中快速、正确地做出决策是当今商业世界中企业面临的最重要的挑战之一。但是，尽管存在这一重要需求，但由于缺乏智能分析工具，行业的几个方面还没有准备好处理大数据。随着更多的智能集成到工业产品和生产线中，具有自我感知、自我预测和自我配置功能的智能算法可以进一步改变制造设备、车队管理和生产系统，以实现弹性和自主优化的生产力和服务。本文讨论了信息物理系统在未来维护策略中的应用。
Rapid and correct decision-making in big data environment is one of the most important challenges that companies are facing in today’s business world. But regardless of this significant requirement, lack of smart analytical tools has made several aspects of industry not ready to handle big data. As more intelligence is integrated in industrial products and manufacturing lines, smart algorithms with self-aware, self-predict, and self-configure capabilities can further transform manufacturing equipment, fleet management and production systems to achieve resilient and autonomously optimized productivity and services. This article addresses the application of cyber-physical systems in the future of maintenance strategies.