{"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}
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.