航空工程进展2025，Vol.16Issue(4)：208-218,11.DOI:10.16615/j.cnki.1674-8190.2025.04.22
基于文本挖掘的航空产品故障模式生成与判别
Generation and discrimination of aviation product failure modes based on text mining
摘要
Abstract
Aviation product failure text data has the characteristics of complex format and highly professional algo-rithms that requires interpretability.A fault mode generation and identification technology based on text mining method is proposed.The automatic generation and discrimination of field fault modes of aviation products are real-ized through the step-by-step task processing such as data management,clustering classification and outlier detec-tion of fault text data.The technology is conducted with experiment verification of actual field fault data.The re-sults show that the proposed technology can meet the requirements of algorithm agility and interpretability for fault text data at the current stage,effectively overcome the problems of relatively small fault text data volume,complex data preprocessing,and multiple steps involved,effectively improve the efficiency of fault text data processing,as-sist the generation of field fault mode libraries,and guide the fault analysis and application of design,support and other processes.关键词
航空产品/故障数据/故障模式/文本挖掘/文本聚类/文本分类Key words
aviation product/failure data/failure modes/text mining/text clustering/text classification分类
航空航天引用本文复制引用
高龙,王孝天,侯晨光,黄明晟,曾照洋..基于文本挖掘的航空产品故障模式生成与判别[J].航空工程进展,2025,16(4):208-218,11.基金项目
工信部民机专项科研项目(MJZ2-3N21) （MJZ2-3N21）
