Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 436-438.
• Big Data & Data Mining • Previous Articles Next Articles
LIU Zi-yi1, LIU Qing1, WANG Chong1, WANG Ji-meng1, WANG Yue1, LIU Jin-shuo2, YIN Ze-hao2
CLC Number:
[1]董力通,周原冰,李蒙.智能电网对智能电表的要求及产业发展建议.能源技术经济,2010,22(1):15-17. 唐涛涛.电能表的误差发生分析与解决办法.现代测量与实验室管理,2011(3):13-15. O’Connor,Kleyner.Guide for selecting and using reliability predictions based on IEEE 1413..http://www.doc88.com/p-90425856345.html. 王慧芳,杨荷娟,何奔腾,等.输变电设备状态故障率模型改进分析.电力系统自动化.2011,35(16):27-31. 顾伟,褚建新.基于故障统计模型的可修系统维修周期预测法.机械强度,2000,22(1):22-27. GB 17215.911-200×/IEC/TR 62059-11-2002,电量计量设备. 可靠性.第11部分:一般概念..http://www.tsinfo.js.cn/wine/index/gbtdetails.aspx?A100=IEC/TR%2062059-11-2002. GB 17215.911-200×/IEC/TR 62059-31-1-2008,电能测量设备--可靠性--第31-1部分:加速可靠性测试--提高温度和湿度..http://www.tsinfo.js.cn/inquiry/gbtdetails.aspx?A100=IEC%2062059-31-1-2008. 徐瑞.多层线性模型在高一物理学习影响因素分析中的应用.昆明:云南师范大学,2009. 刘红云,孟庆茂.纵向数据分析方法.心理科学进展,2003,11(5):586-592. 孙吉贵,刘杰,赵连宇.聚类算法研究.软件学报,2008,19(1):48-61. 李瑞莹,康锐.基于ARMA模型的故障率预测方法研究.系统工程与电子技术,2008,30(8):1588-1591. |
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