危险与可操作性分析(Hazard and Operability,简称HAZOP)是一种行之有效的安全预评价方法。但人工HAZOP分析对分析人员要求较高,而且分析时易忽略故障,且费时、费力、成本高。因此在国内应用并不广泛。本文以流程工业系统中换热器设备...危险与可操作性分析(Hazard and Operability,简称HAZOP)是一种行之有效的安全预评价方法。但人工HAZOP分析对分析人员要求较高,而且分析时易忽略故障,且费时、费力、成本高。因此在国内应用并不广泛。本文以流程工业系统中换热器设备单元为例,给出了在HAZOP分析中如何应用SDG这一强大的图形分析工具进行建模和分析的方法。对进一步利用已建立的通用单元设备SDG模型来构建系统的SDG模型,解决计算机辅助HAZOP分析中的通用性问题进行了初步探索。基于SDG技术的计算机辅助HAZOP分析方法,在故障诊断和安全评价方面具有很好的应用前景。展开更多
针对复杂系统符号定向图(SDG,Signal Directed Graph)定性建模存在的困难,提出一种改进型SDG定性建模方法。通过对目前存在的三种SDG定性建模方法进行比较,阐述了基于功能单元划分的符号定向图(F-SDG,SDG Based on Function Unit)方法...针对复杂系统符号定向图(SDG,Signal Directed Graph)定性建模存在的困难,提出一种改进型SDG定性建模方法。通过对目前存在的三种SDG定性建模方法进行比较,阐述了基于功能单元划分的符号定向图(F-SDG,SDG Based on Function Unit)方法起源于基于经验知识的SDG建模法,并对F-SDG建模法的理论基础进行概述;给出F-SDG建模方法的精确数学定义、模型描述图例以及具体建模步骤;以物资供应过程为例,进行F-SDG定性建模过程演示,最后,证实了F-SDG的可行性与实用性。展开更多
基于趋势分析的故障诊断受数据影响较大,基于定向符号图(signed d irected graph)模型的故障诊断难于建模和推理,而两者结合以提高故障诊断效果的方法还未被考虑.本文将趋势分析的趋势信息和SDG模型的节点信息进行了比较,阐明了两者信...基于趋势分析的故障诊断受数据影响较大,基于定向符号图(signed d irected graph)模型的故障诊断难于建模和推理,而两者结合以提高故障诊断效果的方法还未被考虑.本文将趋势分析的趋势信息和SDG模型的节点信息进行了比较,阐明了两者信息互补的特点,然后利用趋势分析建立SDG模型,并利用SDG模型改进基于趋势分析的故障诊断,建立了数据驱动方法和基于模型方法相结合的故障诊断方法.CSTR(continuous stirred-tankreactor)实例分析表明,基于趋势分析和SDG模型的故障诊断方法提高了诊断的准确性和精确性.展开更多
In the past 30 years,signed directed graph(SDG) ,one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,ha...In the past 30 years,signed directed graph(SDG) ,one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consis-tent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagno-sis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.展开更多
文摘危险与可操作性分析(Hazard and Operability,简称HAZOP)是一种行之有效的安全预评价方法。但人工HAZOP分析对分析人员要求较高,而且分析时易忽略故障,且费时、费力、成本高。因此在国内应用并不广泛。本文以流程工业系统中换热器设备单元为例,给出了在HAZOP分析中如何应用SDG这一强大的图形分析工具进行建模和分析的方法。对进一步利用已建立的通用单元设备SDG模型来构建系统的SDG模型,解决计算机辅助HAZOP分析中的通用性问题进行了初步探索。基于SDG技术的计算机辅助HAZOP分析方法,在故障诊断和安全评价方面具有很好的应用前景。
文摘针对复杂系统符号定向图(SDG,Signal Directed Graph)定性建模存在的困难,提出一种改进型SDG定性建模方法。通过对目前存在的三种SDG定性建模方法进行比较,阐述了基于功能单元划分的符号定向图(F-SDG,SDG Based on Function Unit)方法起源于基于经验知识的SDG建模法,并对F-SDG建模法的理论基础进行概述;给出F-SDG建模方法的精确数学定义、模型描述图例以及具体建模步骤;以物资供应过程为例,进行F-SDG定性建模过程演示,最后,证实了F-SDG的可行性与实用性。
文摘基于趋势分析的故障诊断受数据影响较大,基于定向符号图(signed d irected graph)模型的故障诊断难于建模和推理,而两者结合以提高故障诊断效果的方法还未被考虑.本文将趋势分析的趋势信息和SDG模型的节点信息进行了比较,阐明了两者信息互补的特点,然后利用趋势分析建立SDG模型,并利用SDG模型改进基于趋势分析的故障诊断,建立了数据驱动方法和基于模型方法相结合的故障诊断方法.CSTR(continuous stirred-tankreactor)实例分析表明,基于趋势分析和SDG模型的故障诊断方法提高了诊断的准确性和精确性.
基金Supported by the Science and Technological Tackling Project of Heilongjiang Province(GB06A106)
文摘In the past 30 years,signed directed graph(SDG) ,one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consis-tent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagno-sis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.
