FDES(fuzzy discrete event systems) can effectively represent a kind of complicated systems involving deterministic uncertainties and vagueness as well as human subjective observation and judgement from the view of dis...FDES(fuzzy discrete event systems) can effectively represent a kind of complicated systems involving deterministic uncertainties and vagueness as well as human subjective observation and judgement from the view of discrete events, here the information system is divided into some independent intelligent entitative Agents. The concept of information processing state based on Agents was proposed. The processing state of Agent can be judged by some assistant observation parameters about the Agent and its environment around, and the transition among these states can be represented by FDES based on rules. In order to ensure the harmony of the Agents for information processing, its upstream and downstream buffers are considered in the modeling of the Agent system, and the supervisory controller based on FDES is constructed. The processing state of Agent can be adjusted by the supervisory controller to improve the stability of the system and the efficiency of resource utilization during the process according to the control policies. The result of its application was provided to illustrate the validity of the supervisory adjustment.展开更多
针对观测条件受限时的模糊离散事件系统(fuzzy discrete event systems,FDES)故障诊断问题,文章提出一种以时间维度可观程度(observable degree in dimensionality of time,ODDT)为基础的故障诊断器构造方法。根据观测信息中的时间属性...针对观测条件受限时的模糊离散事件系统(fuzzy discrete event systems,FDES)故障诊断问题,文章提出一种以时间维度可观程度(observable degree in dimensionality of time,ODDT)为基础的故障诊断器构造方法。根据观测信息中的时间属性建立时间约束图,并以时间证据合并的策略分析离散事件在时间维度上的可观性,从而获得FDES的时间信息全局状态;计算ODDT,并用于分析FDES的系统状态和故障可诊断程度。该方法可在观测条件受限以致故障事件链难以完全捕获的情况下,根据状态信息隐含的时间线索来辨识模糊事件并发现系统隐患。实例分析表明,相比于单纯依赖故障事件链分析的诊断方法,根据ODDT构造的诊断器提高了系统的可诊断程度。展开更多
文摘FDES(fuzzy discrete event systems) can effectively represent a kind of complicated systems involving deterministic uncertainties and vagueness as well as human subjective observation and judgement from the view of discrete events, here the information system is divided into some independent intelligent entitative Agents. The concept of information processing state based on Agents was proposed. The processing state of Agent can be judged by some assistant observation parameters about the Agent and its environment around, and the transition among these states can be represented by FDES based on rules. In order to ensure the harmony of the Agents for information processing, its upstream and downstream buffers are considered in the modeling of the Agent system, and the supervisory controller based on FDES is constructed. The processing state of Agent can be adjusted by the supervisory controller to improve the stability of the system and the efficiency of resource utilization during the process according to the control policies. The result of its application was provided to illustrate the validity of the supervisory adjustment.
文摘针对观测条件受限时的模糊离散事件系统(fuzzy discrete event systems,FDES)故障诊断问题,文章提出一种以时间维度可观程度(observable degree in dimensionality of time,ODDT)为基础的故障诊断器构造方法。根据观测信息中的时间属性建立时间约束图,并以时间证据合并的策略分析离散事件在时间维度上的可观性,从而获得FDES的时间信息全局状态;计算ODDT,并用于分析FDES的系统状态和故障可诊断程度。该方法可在观测条件受限以致故障事件链难以完全捕获的情况下,根据状态信息隐含的时间线索来辨识模糊事件并发现系统隐患。实例分析表明,相比于单纯依赖故障事件链分析的诊断方法,根据ODDT构造的诊断器提高了系统的可诊断程度。
