理化检验-物理分册2025，Vol.61Issue(8)：8-15,8.DOI:10.11973/lhjy-wl250082
基于Apriori算法的失效分析案例文本挖掘方法
The text mining method for failure analysis case based on Apriori algorithm
霍玉雯 1陈洁明 2杨晓 2施卫博 1李雪峰1
作者信息
- 1. 洛阳船舶材料研究所 第七二五研究所,洛阳 471023
- 2. 洛阳船舶材料研究所 第七二五研究所,洛阳 471023||海洋腐蚀与防护全国重点实验室,洛阳 471023
- 折叠
摘要
Abstract
In complex application scenarios,traditional failure analysis techniques have problems such as high complexity,difficulty,and excessive reliance on expert experience.A framework for text mining of failure analysis cases based on Apriori algorithm was proposed,which realized auxiliary diagnosis of failure causes and explanation of fault action mechanisms.The framework was applied and verified based on historical failure case texts.The results show that the framework consisted of three main parts,a text preprocessing method for failure analysis cases,a text feature representation model for failure analysis cases based on TF-IDF algorithm,and a two-stage association rule mining method for failure analysis cases based on Apriori algorithm.The visualized propagation path of failure factors,failure modes,and failure causes established by this framework had reference significance for improving the efficiency of failure analysis and decoupling the process of failure cause inference.关键词
失效分析/辅助诊断/关联规则/文本挖掘/数据挖掘Key words
failure analysis/diagnostic assistance/association rule/text mining/data mining分类
通用工业技术引用本文复制引用
霍玉雯,陈洁明,杨晓,施卫博,李雪峰..基于Apriori算法的失效分析案例文本挖掘方法[J].理化检验-物理分册,2025,61(8):8-15,8.
