计算机与应用化学
計算機與應用化學
계산궤여응용화학
COMPUTERS AND APPLIED CHEMISTRY
2013年
7期
725-729
,共5页
朱群雄%隋英丽%史晟辉%徐圆
硃群雄%隋英麗%史晟輝%徐圓
주군웅%수영려%사성휘%서원
EFSM切片%邻接依赖图%故障诊断
EFSM切片%鄰接依賴圖%故障診斷
EFSM절편%린접의뢰도%고장진단
EFSM slice%adjacent dependency graph%fault diagnosis
针对复杂化工过程故障分析和理解困难的问题,应用计算机领域中的EFSM切片技术和知识库方法,提出一种新的应用于化工过程故障诊断的解决方案。本文基于前人建立的扩展有限状态机(Extended Finite State Machine, EFSM)模型,选取系统操作流程中的异常对象作为切片准则。然后,利用邻接依赖图EFSM切片算法,给出求解故障对象相关变量数据依赖图的过程,通过宽度优先搜索变量数据依赖图考查各节点是否为故障源,建立故障诊断所需知识库。最后,列出基于EFSM切片的故障诊断推理的具体过程,以及根据构建的知识库进行的诊断工作。以双容水槽液位控制系统为例,计算EFSM切片,其规模有效约减为原模型的70%左右;进而得到相关变量数据依赖图,分析异常状态和故障源,使得基于EFSM切片的化工过程故障诊断方法的可行性得以验证,为化工过程故障诊断提供新的思路。
針對複雜化工過程故障分析和理解睏難的問題,應用計算機領域中的EFSM切片技術和知識庫方法,提齣一種新的應用于化工過程故障診斷的解決方案。本文基于前人建立的擴展有限狀態機(Extended Finite State Machine, EFSM)模型,選取繫統操作流程中的異常對象作為切片準則。然後,利用鄰接依賴圖EFSM切片算法,給齣求解故障對象相關變量數據依賴圖的過程,通過寬度優先搜索變量數據依賴圖攷查各節點是否為故障源,建立故障診斷所需知識庫。最後,列齣基于EFSM切片的故障診斷推理的具體過程,以及根據構建的知識庫進行的診斷工作。以雙容水槽液位控製繫統為例,計算EFSM切片,其規模有效約減為原模型的70%左右;進而得到相關變量數據依賴圖,分析異常狀態和故障源,使得基于EFSM切片的化工過程故障診斷方法的可行性得以驗證,為化工過程故障診斷提供新的思路。
침대복잡화공과정고장분석화리해곤난적문제,응용계산궤영역중적EFSM절편기술화지식고방법,제출일충신적응용우화공과정고장진단적해결방안。본문기우전인건립적확전유한상태궤(Extended Finite State Machine, EFSM)모형,선취계통조작류정중적이상대상작위절편준칙。연후,이용린접의뢰도EFSM절편산법,급출구해고장대상상관변량수거의뢰도적과정,통과관도우선수색변량수거의뢰도고사각절점시부위고장원,건립고장진단소수지식고。최후,렬출기우EFSM절편적고장진단추리적구체과정,이급근거구건적지식고진행적진단공작。이쌍용수조액위공제계통위례,계산EFSM절편,기규모유효약감위원모형적70%좌우;진이득도상관변량수거의뢰도,분석이상상태화고장원,사득기우EFSM절편적화공과정고장진단방법적가행성득이험증,위화공과정고장진단제공신적사로。
For the fault diagnosis problems of complex chemical process, a new solution used EFSM slice and expert system in the computer technology field is put forward. In this paper, the exception object in the operation process is firstly selected as the slicing criterion. Secondly, based on the EFSM model introduced by the predecessor, the adjacent data dependence graph of fault object is conducted by EFSM slicing algorithm. Furthermore, in order to find the source node of fault, the data dependence graph is breadth-first searched, and then the knowledge base of fault is established. Finally, the diagnosis process is described. As an example, the EFSM slice for data dependence graph of the double water tanks level control system is calculated. And the size of the EFSM slice is reduced to about 70 % of the original model. Through analyzing data dependence graph of relevant variables, the source of fault is found. The feasibility of the fault diagnosis method based on EFSM slice in the chemical process is verified in the experiment. Moreover new ideas for fault diagnosis of chemical process are provided.