关键词: 过程失效模式及影响分析, 潜在工艺失效模式, 推理识别, 过程构成要素, 本体, 语义Web规则语言

Abstract: The efficient and accurate identification of all potential process failure modes is fundamental to the development of an assembly Process Failure Mode and Effects Analysis (PFMEA).To construct a universal identification method for potential assembly process failure modes,a model for reasoning and identifying potential process failure modes based on a combination of process constituent elements and ontology was proposed.The information of the unit was systematically and comprehensively described by the process constituent elements with the assembly work step as the unit,and the Apriori algorithm was applied to mine the expression of the content of each process constituent element.Accordingly,the standardized requirements for writing work-step instructions were proposed in two dimensions:the specific contents of the work-step process constituent elements and their expressions.A standardized assembly process knowledge base was constructed by means of ontology representation,and the specific manifestations of failure of each process constituent elements were analyzed by combining the criteria for determining potential process failure modes,as well as the syntactic components that made up the information of each type of process constituent elements.Then,semantic opposition analysis and its complementary techniques and Semantic Web Rule Language were employed to write reasoning rules for each process constituent element to the corresponding potential process failure modes,and the reasoning identification of potential process failure modes was realized with the Drools rule engine.The feasibility and effectiveness of the proposed method were verified by using the assembly of several final assemblies of a certain type of aircraft as an example.

Key words: process failure mode and effects analysis, potential process failure mode, reasoning identification, process constituent elements, ontology, semantic Web rule language