自动化学报2017，Vol.43Issue(11)：1950-1961,12.DOI:10.16383/j.aas.2017.c160384
基于证据推理的动态系统安全性在线评估方法
Online Safety Assessment Method Based on Evidential Reasoning for Dynamic Systems
摘要
Abstract
It is of great significance to online assess the safety of a dynamic system by taking into account historical records,current state,and degradation trend. This paper proposes a new safety assessment method based on the evidential reasoning (ER) approach. To obtain the integrated safety level, multiple safety indicators are fused at first and the"history","current"and"future"safety states are then integrated. Firstly, a forecasting model based on a third-order Volterra filter is proposed to online predict the safety indicators′information. Secondly, an optimal adaptive fusion weighting model is developed to calculate and automatically update the weighing coefficient. Finally,a safety assessment aggregation scheme based on the ER approach is presented to fuse the"history","current"and"future"safety information synthetically to obtain a comprehensive safety assessment result of the dynamic system. A practical example of the inertial platform is studied to validate the effectiveness of the proposed ER-based safety assessment method.关键词
动态系统/安全性/在线评估/证据推理/Volterra滤波器/权重/信息融合Key words
Dynamic system/safety/online assessment/evidential reasoning (ER)/Volterra filter/weight/information fusion引用本文复制引用
赵福均,周志杰,胡昌华,常雷雷,王力..基于证据推理的动态系统安全性在线评估方法[J].自动化学报,2017,43(11):1950-1961,12.基金项目
国家自然科学基金 (60736026, 61370031, 71601180, 61773388),飞行器海上测量与控制联合实验室开放基金 (FOM2014OF14, FOM2015OF017),中国博士后科学基金面上项目(2015M570847),陕西省自然科学基金项目 (2015JM6354),装备预研基金(9140A19030314JB47276) 资助 Supported by National Natural Science Foundation of China (60736026, 61370031, 71601180, 61773388), the Open Funding Programme of Joint Laboratory of Flight Vehicle Ocean-based Measurement and Control (FOM2014OF14, FOM2015OF017), China Postdoctoral Science Foundation (2015M570847), Natu-ral Science Foundation of Shaanxi Province (2015JM6354), As-sembly Research Foundation (9140A19030314JB47276) （60736026, 61370031, 71601180, 61773388）
