Data-Driven Monitoring and Safety Control of Industrial Cyber-Physical System: Basics and Beyond
Data-Driven Monitoring and Safety Control of Industrial Cyber-Physical System: Basics and Beyond
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DOI：
10.1109/access.2018.2866403
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发表时间：
2018-01-01
期刊：
影响因子：
3.9
通讯作者：
Kaynak, Okyay
中科院分区：
文献类型：
--
作者：
Jiang, Yuchen;Yin, Shen;Kaynak, Okyay
工业网络物理系统（ICPS）是工业4.0的骨干，因此已成为行业和学术界的核心跨学科研究领域。由于系统的规模和复杂性，信息交换不足以及可用的知识的开发，带来的新挑战已开始威胁到整体系统的安全性和稳定性。这项工作是由这些挑战以及为安全至关重要系统（例如智能工厂和智能电网）开发ICPS的战略和实践要求的动机。它研究了ICPS监测和控制研究中研究的当前状态，并根据数据驱动的实现来审查监视，故障诊断和控制方法的最新进展，这些实现可以充分利用过去观察结果可用的大量数据，实时在线。典型的ICPS应用程序中的实际要求总结为监视和安全控制任务要解决的主要问题。提出了关键的挑战和研究方向作为对未来工作的参考。
Industrial cyber-physical systems (ICPSs) are the backbones of Industry 4.0 and as such, have become a core transdisciplinary area of research, both in industry and academia. New challenges brought about by the growing scale and complexity of systems, insufficient information exchange, and the exploitation of knowledge available have started threatening the overall system safety and stability. This work is motivated by these challenges and the strategic and practical demands of developing ICPSs for safety-critical systems such as the intelligent factory and the smart grid. It investigates the current status of research in ICPS monitoring and control, and reviews the recent advances in monitoring, fault diagnosis, and control approaches based on data-driven realization, which can take full advantage of the abundant data available from past observations and those collected online in real time. The practical requirements in the typical ICPS applications are summarized as the major issues to be addressed for the monitoring and the safety control tasks. The key challenges and the research directions are proposed as references to the future work.