基于人工免疫系统和云模型的设备健康状态等级划分

Xia Liang-hua, Qi Wei-wei, Hao Jin-feng, Guan Xuan-yi
{"title":"基于人工免疫系统和云模型的设备健康状态等级划分","authors":"Xia Liang-hua, Qi Wei-wei, Hao Jin-feng, Guan Xuan-yi","doi":"10.1109/IMCCC.2011.86","DOIUrl":null,"url":null,"abstract":"In order to overcome the deficiency of the traditional method for determining of threshold value of the health state, this paper proposed a health state grade dividing algorithm based on artificial immune system (AIS) and cloud model. It cluster the state degradation data of equipment and the best clustering date of health state grade is found out without priori knowledge, and then it uses the cloud model to soften and divide the state grade and realizes the health state grade dividing automatically and optimally. At last, this algorithm is applied to gearbox, and the results shows that it can carry on rational division to the state grade of health equipped, and have good adaptability and robust.","PeriodicalId":446508,"journal":{"name":"2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Equipment Health State Grade Division Based on Artificial Immune System and Cloud Model\",\"authors\":\"Xia Liang-hua, Qi Wei-wei, Hao Jin-feng, Guan Xuan-yi\",\"doi\":\"10.1109/IMCCC.2011.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to overcome the deficiency of the traditional method for determining of threshold value of the health state, this paper proposed a health state grade dividing algorithm based on artificial immune system (AIS) and cloud model. It cluster the state degradation data of equipment and the best clustering date of health state grade is found out without priori knowledge, and then it uses the cloud model to soften and divide the state grade and realizes the health state grade dividing automatically and optimally. At last, this algorithm is applied to gearbox, and the results shows that it can carry on rational division to the state grade of health equipped, and have good adaptability and robust.\",\"PeriodicalId\":446508,\"journal\":{\"name\":\"2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCCC.2011.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2011.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

为了克服传统健康状态阈值确定方法的不足,提出了一种基于人工免疫系统(AIS)和云模型的健康状态等级划分算法。该方法对设备状态退化数据进行聚类,在不需要先验知识的情况下找出健康状态等级的最佳聚类日期,然后利用云模型对状态等级进行软化和划分,实现了健康状态等级的自动最优划分。最后,将该算法应用于齿轮箱,结果表明,该算法能对健康装备的状态等级进行合理划分,具有良好的适应性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equipment Health State Grade Division Based on Artificial Immune System and Cloud Model
In order to overcome the deficiency of the traditional method for determining of threshold value of the health state, this paper proposed a health state grade dividing algorithm based on artificial immune system (AIS) and cloud model. It cluster the state degradation data of equipment and the best clustering date of health state grade is found out without priori knowledge, and then it uses the cloud model to soften and divide the state grade and realizes the health state grade dividing automatically and optimally. At last, this algorithm is applied to gearbox, and the results shows that it can carry on rational division to the state grade of health equipped, and have good adaptability and robust.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信