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Developing a process equipment failure knowledge base using ontology approach for process equipment related incident investigations

机译:使用本体方法开发过程设备故障知识库,用于过程设备相关的事件调查

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摘要

Process equipment failures (PEFs) are one of the most important causes of process incidents occurrences. To investigate and prevent the PEFs, in addition to having the previous data, it is necessary to have some resources of the PEFs domain knowledge. Nowadays, PEFs data are usually retrieved from existent databases. Customary databases present only previously stored data of equipment failures but, for carrying out a comprehensive PEFs management it is necessary to have access to the PEFs desired knowledge and not only stored data. This paper aims to offer a knowledge base for the PEFs through adopting an ontological approach and then to use the proposed knowledge base for further applications particularly, process incident investigation activities. Through adding semantic search capability, the proposed knowledge base could upgrade the data presenting feature of the common databases into a knowledge presenting feature. Using this approach, the user would be able to extract the desired knowledge of the PEFs along the virtual stored data of occurred cases. The knowledge extraction process and the data mining of occurred incidents are both necessary for the PEFs investigation.
机译:过程设备故障(PEF)是过程事件发生的最重要原因之一。为了调查和预防PEF,除了拥有先前的数据外,还必须具有一些PEFs领域知识的资源。如今,PEF数据通常从现有的数据库中检索。常规数据库仅显示以前存储的设备故障数据,但是,为了进行全面的PEF管理,必须访问PEF所需的知识,而不仅是存储的数据。本文旨在通过采用本体论方法为PEF提供一个知识库,然后将该提议的知识库用于进一步的应用,尤其是过程事件调查活动。通过添加语义搜索功能,所提出的知识库可以将通用数据库的数据表示功能升级为知识表示功能。使用这种方法,用户将能够沿着发生病例的虚拟存储数据提取所需的PEF知识。 PEF调查需要知识提取过程和对已发生事件的数据挖掘。

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