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首页> 外文会议>The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)论文集 >Signed Directed Graph and Qualitative Trend Analysis-Based Method for Process Monitoring and Fault Diagnosis
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Signed Directed Graph and Qualitative Trend Analysis-Based Method for Process Monitoring and Fault Diagnosis

机译：基于签名的有向图和定性趋势分析的过程监控和故障诊断方法

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摘要

A combined signed directed graph (SDG) and qualitative trend analysis (QTA) method for process monitoring and fault diagnosis is proposed. In this method, every node in the model of SDG is monitored.When fault occurs, SDG is used to find possible faults and their consistent paths. For every consistent path, the trends of all the nodes on it are extracted and analyzed using QTA.And then backward reasoning according to trends of nodes (matching the trends of nodes with trends stored in the database from fault node to cause node) for every consistent path is done to get the most possible path and cause. Thus, this method combines the completeness property of SDG with the high diagnostic resolution property of QTA. The proposed method is tested on a tank-level3 system. The result shows that this method provides fast, reliable and accurate fault diagnosis.
机译：提出了一种用于过程监控和故障诊断的带符号有向图（SDG）和定性趋势分析（QTA）相结合的方法。这种方法可以监控SDG模型中的每个节点。当发生故障时，SDG用于查找可能的故障及其一致的路径。对于每个一致的路径，使用QTA提取并分析其上所有节点的趋势，然后根据每个节点的趋势（将节点的趋势与从故障节点到原因节点的数据库中存储的趋势进行匹配）进行反向推理。进行一致的路径以获得最大可能的路径和原因。因此，该方法将SDG的完整性属性与QTA的高诊断分辨率属性结合在一起。所提出的方法在tank-level3系统上进行了测试。结果表明，该方法提供了快速，可靠，准确的故障诊断方法。

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