Xingxing Xu, Shenghan Zhou, Yiyong Xiao, Wenbing Chang, Fajie Wei, Ming Yang
{"title":"基于文本挖掘的飞机故障分类与检索模型研究","authors":"Xingxing Xu, Shenghan Zhou, Yiyong Xiao, Wenbing Chang, Fajie Wei, Ming Yang","doi":"10.1109/RAMS48030.2020.9153588","DOIUrl":null,"url":null,"abstract":"With the development of information technology, a large number of equipment management systems have been used in the aviation field. These systems generally have failure management functions. After the failure occurs, it is necessary to input the text information of equipment failure in time, such as “combination switch damage”, “intake pipe rupture” and other failure phenomena. In addition, the corresponding failure causes and troubleshooting methods also need to be fully recorded. Therefore, as the system has been used, a large number of equipment failure texts will be generated. If we can make full use of these unstructured data and discover the knowledge through text mining, it will be of great significance to fault analysis and maintenance decision-making.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Text Mining-based Research on Aircraft Faults Classification and Retrieval Model\",\"authors\":\"Xingxing Xu, Shenghan Zhou, Yiyong Xiao, Wenbing Chang, Fajie Wei, Ming Yang\",\"doi\":\"10.1109/RAMS48030.2020.9153588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of information technology, a large number of equipment management systems have been used in the aviation field. These systems generally have failure management functions. After the failure occurs, it is necessary to input the text information of equipment failure in time, such as “combination switch damage”, “intake pipe rupture” and other failure phenomena. In addition, the corresponding failure causes and troubleshooting methods also need to be fully recorded. Therefore, as the system has been used, a large number of equipment failure texts will be generated. If we can make full use of these unstructured data and discover the knowledge through text mining, it will be of great significance to fault analysis and maintenance decision-making.\",\"PeriodicalId\":360096,\"journal\":{\"name\":\"2020 Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Annual Reliability and Maintainability Symposium (RAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS48030.2020.9153588\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS48030.2020.9153588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Text Mining-based Research on Aircraft Faults Classification and Retrieval Model
With the development of information technology, a large number of equipment management systems have been used in the aviation field. These systems generally have failure management functions. After the failure occurs, it is necessary to input the text information of equipment failure in time, such as “combination switch damage”, “intake pipe rupture” and other failure phenomena. In addition, the corresponding failure causes and troubleshooting methods also need to be fully recorded. Therefore, as the system has been used, a large number of equipment failure texts will be generated. If we can make full use of these unstructured data and discover the knowledge through text mining, it will be of great significance to fault analysis and maintenance decision-making.