{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“讯息”:{“索引”:{“日期-部件”:[[2022,8,30]],“日期-时间”:“2022-08-30T00:53:31Z”,“时间戳”:1661820811248},“参考-计数”:21,“出版商”:“IEEE”,“许可证”:[{“开始”:{-“日期-零件”:[2019,7,1]],”“日期-时刻”:“2019-07-01T00:00:00 Z“,”timestamp“:1561939200000},”content-version“:”vor“,“delay-in-days”:0,“URL”:“https:\/\/ieeexplore.iee.org\/Xplorehelp\/downloads\/license-information\/ieee.html”},{“start”:{“date-parts”:[[2019,7,1]],“date-time”:“2019-07-01T00:00:00Z”,“timestamp”:1561939200000},“content-version”:“stm-asf”,“delay-in-days“:0,”URL“https:\\/doi.org\/10.1 5223\/policy-029“},{“开始”:{“日期部分”:[[2019,7,1]],“date-time”:“2019-07-01T00:00:00Z”,“timestamp”:1561939200000},“content-version”:“stm-asf”,“delay-in-days”:0,“URL”:“https:\/\/doi.org\/10.15223\/policy-037”}],“content-domain”:{“domain”:[],“crossmark-restriction”:false},”shortcontainer-title“:[],”published-print“:{”date-parts“:[2019,7]},“内政部”:“10.1109\/ithings\/greencom\/cpscom\/smartdata.2019.00029”,“type”:“proceedings-article”,“created”:{“date-parts”:[[2019,10,21]],“date-time”:“2019-10-21T23:56:05Z”,“timestamp”:1571702165000},“source”:《Crossref》,“is-referenced-by-count”:1,“title”:[“基于SG-FCM聚类算法的工业设备动态健康评估方法”],“前缀”:“10.1109”,“作者”:[{“给定”:“玉宾”,“家庭”:“周”,“序列”:“第一”,“从属关系”:[]},{“给出”:“洪”,“家族”:“肖”,“顺序”:“附加”,“隶属关系”:[]}、{“指定”:“志刚”,“家人”:“陈”,“排序”:“额外”,“附属关系”:【】},}“给定的”:“道”,“家”:“王”,“序号”:“添加”,“归属关系”“:[]},{”给定“:”一号“,”家庭“:“Pan”,“sequence”:“additional”,“affiliation”:[]},{“given”:“宜宾”,“family”:“Wan”,“序列”:“附加”,“从属”:[]}],“member”:“263”,“reference”:[{“key”:”ref10“,”doi-asserted-by“:”crossref“,”first page“:”298“,”doi“10.1016\/j.mechnics.2013.11.009”,“article-title”:“稳健故障检测系统的数据驱动设计风力涡轮机”,“volume”:“24”,“author”:“yin”,“year”:“2014”,“journal-title”:“Mechatronics”},{“key”:”ref11“,”doi-asserted-by“:”publisher“,”doi“:”10.1109\/ACCESS.2018.2804930“},”{“密钥”:“ref12”,“doi-assert-by”:“publisher”,“doi”:“10.1016\/j.ymssp.2016.02.001”}y“:”publisher“,”doi“:”10.1016\/j.dsp.2014.08.006“},{”key“:”ref14“,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TSMCB.2012.2198882”},{“key”:“ref15”,“doo-asserted-by”:”publisher“,”doi“:”10.1109\/TR.2014.2315912“},“key“:”ref16“,”doi-assert-by“:”publider“,”doi“:“”:“基于聚类方法的自适应神经模糊推理系统预测边坡稳定性”,“卷”:“8”,“作者”:“fattahi”,“年份”:“2017年”,“期刊标题”:“采矿与环境”},{“key”:“ref18”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TTE.2015.2512237”}:“10.1177\/0954406215590167”},{“key”:“ref4”,“doi-asserted-by”:“publisher”,“doi”:“10.1016\/j.ymssp.2017.11.016”}368“},{“key”:“ref5”,“doi-asserted-by”:“publisher”,“doi”:“10.1093\/imaman\/13.1.3”},{“key”:“ref8”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TIE.2010.58072”},{“key”:”ref7“,”doi-assert-by“:”publisher“,”doi“:”10.1109\/TIM.2014.2313034“},”key“:”ref2“,”首页“:”20“,”article-title“:”基于D-S证据理论的设备健康状况评估“,”author“:”ai-tian“,“year”:“2019”,“journal-title“:”电子质量“},{”密钥“:“ref1”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TCSS.2018.2813320”},{“key”:“ref9”,“doi-assertd-by”:“publisher”,“DI:”10.1109\/TIE.2015.2455055“涡扇发动机退化模拟数据集”,“卷”:“1”,“作者”:“saxena”,“年份”:“2018年”,“新闻标题”:“NASA艾姆斯预测数据存储库NASA艾默斯研究中心”}],“事件”:{“名称”:“2019年物联网(iThings)和IEEE绿色计算与通信(GreenCom)及IEEE网络、物理与社会计算(CPSCom)和IEEE-智能数据(SmartData)国际会议”,“地点”:“美国佐治亚州亚特兰大”,“start”:{“date-parts”:[[2019,7,14]]},“end”:{“date-parts”:[[2019,7,17]]}},”container-title“:[“2019年物联网(iThings)和IEEE绿色计算与通信(GreenCom)国际会议,IEEE Cyber,Physical and Social Computing(CPSCom)和IEEESmartData(SmartData)”],“original-title”:[],“link”:[{“URL”:“http://\/xplorestaging.ieee.org\/ielx7\/8867850\/8875257\/08875361.pdf?arnumber=8875361”,“content-type”:“unspecified”,“content-version”:“vor”,“intended-application”:“similarity-checking”}],“deposed”:{“date-parts”:[2022,7,19]],“date-time”:”2022-07-19T20:22:23Z“,“timestamp”:1658262143000},“score”:1,“资源“:{“主”:{”URL“:“https:\/\/ieeexplore.iee.org\/document\/8875361\/”}},“副标题”:[],“短标题”:[],“发布”:{“日期-部件”:[[2019,7]]},”引用计数“:21,”URL“:”http://\/dx.doi.org\/10.109\/ithings\/greencom\/cpscom\/smartdata.2019.00029日期部分“:[[2019,7]}}}