基于机器学习的CPS系统可靠性在线评估方法

摘要

In order to carry out the analysis and quantification for the reliability of CPS, an automatic online assessment method for the reliability of CPS is proposed. It builds an evaluation framework based on knowledge of machine learning, designs an online rank algorithm, and realizes the online analysis and assessment in real time. The preventive measures can be taken timely. And system can operate normally and continuously. Its reliability has been greatly improved. The result of simulation experiments has verified the validity of the assessment method and the broad application prospects.%为了对CPS系统可靠性进行有效分析与量化，提出了一种实时的CPS可靠性自动在线评估方法，该方法采用机器学习思想构建了评估框架，设计了在线排队算法，实现了对CPS可靠性的实时在线分析与评估，并能及时采取预防措施，确保系统正常无间断运行，极大地提高了系统可靠性。仿真实验结果验证了评估方法的有效性及广泛的应用前景。