The diagnosis is complex in domains where processes occur over time inside systems or objects, changing and affecting other processes and characteristics. A large number of knowledge‐based systems have been developed to increase the efficiency of the diagnostic process. But the models of knowledge of such systems do not simultaneously take into account all types of temporal relationships: changes in the values of attributes over time, taking into account the time intervals that have passed from the moments when the process began to develop and external influences, and so forth. The article considers the universal ontology of knowledge about the diagnosis of processes in various domains as a generalization and the result of many years of experience of the authors in the creation of intelligent systems for the diagnosis of processes. The ontology allows us to formalize anomalies as developing internal processes that are not inherent in a normally functioning system. On its basis (in its terms) knowledge bases and software components for decision support systems are constructed. In the case of a need for a domain‐oriented ontology, it will only be necessary to redefine some concepts and relations which are features of specific domains.

中文翻译：

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异常过程诊断本体论

在系统或对象内随时间发生过程、改变和影响其他过程和特征的领域中，诊断是复杂的。已经开发了大量基于知识的系统来提高诊断过程的效率。但是这些系统的知识模型并没有同时考虑所有类型的时间关系：属性值随时间的变化，考虑到从过程开始发展的时刻起经过的时间间隔和外部影响，等等。本文将有关各个领域过程诊断的知识的通用本体论视为作者在创建过程诊断智能系统方面多年经验的概括和结果。本体允许我们将异常形式化为开发正常运行系统中不固有的内部过程。在它的基础上（就其而言）构建了决策支持系统的知识库和软件组件。在需要面向领域的本体的情况下，只需要重新定义作为特定领域特征的一些概念和关系。