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

摘要： 高效和准确地识别出所有潜在工艺失效模式是开展装配过程失效模式及影响分析的基础性工作。为构建具有普适性地潜在装配过程失效模式的识别方法,创新性地提出了一种基于工艺过程构成要素和本体相结合的潜在工艺失效模式的推理识别模型。首先,以装配工步为单元,通过过程构成要素系统全面地描述了工步单元的信息,并运用Apriori算法挖掘各过程构成要素内容的表述方式。据此,从工步过程构成要素的具体内容和表述方式两个维度对工步指令提出规范化的编写要求;其次,通过本体的表示方式构建规范的装配工艺知识库,结合潜在工艺失效模式的判据分析各要素失效的具体表现形式及组成每类要素信息的语法成分;然后,采用语义对立分析及其互补技术和语义Web规则语言(SWRL)编写各过程构成要素到相应的潜在工艺失效模式的推理规则,以Drools规则引擎实现潜在工艺失效模式的推理识别;最后,以某型飞机的3个部装工艺过程为例验证了所提方法的可行性和有效性。

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