{"title":"基于关联规则的航天零部件可靠性数据统计分析方法","authors":"Chengzhi Jiang, Xiaoming Fan","doi":"10.1109/ICSICT49897.2020.9278224","DOIUrl":null,"url":null,"abstract":"In this paper, as the aerospace components reliability test data resources are rich, randomness, characteristics of discrete, draw lessons from the analysis of large data, in this paper, a method based on association rule mining data statistical analysis is proposed, using this method, easily neglected, useful data model or rules can be excavated, this method provide data support for quality assurance model components.","PeriodicalId":6727,"journal":{"name":"2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)","volume":"27 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Statistical Analysis Method for Reliability Data of Aerospace Components Based on Association Rules\",\"authors\":\"Chengzhi Jiang, Xiaoming Fan\",\"doi\":\"10.1109/ICSICT49897.2020.9278224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, as the aerospace components reliability test data resources are rich, randomness, characteristics of discrete, draw lessons from the analysis of large data, in this paper, a method based on association rule mining data statistical analysis is proposed, using this method, easily neglected, useful data model or rules can be excavated, this method provide data support for quality assurance model components.\",\"PeriodicalId\":6727,\"journal\":{\"name\":\"2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)\",\"volume\":\"27 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSICT49897.2020.9278224\",\"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 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSICT49897.2020.9278224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Statistical Analysis Method for Reliability Data of Aerospace Components Based on Association Rules
In this paper, as the aerospace components reliability test data resources are rich, randomness, characteristics of discrete, draw lessons from the analysis of large data, in this paper, a method based on association rule mining data statistical analysis is proposed, using this method, easily neglected, useful data model or rules can be excavated, this method provide data support for quality assurance model components.
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