期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Patent Statistics and IPR Laws Update Online
1
《中国专利与商标》 2006年第4期16-,共1页
Patent Statistics Beginning from No.2 of 2005 of China Patents & Trademarks, the Statistics on Patent Applications & Grants in China, previously published under the column of Statistics, will be updated online... Patent Statistics Beginning from No.2 of 2005 of China Patents & Trademarks, the Statistics on Patent Applications & Grants in China, previously published under the column of Statistics, will be updated online, including the monthly Statistics on Patent Applications by Patent Category, the Patent Grants by Patent Category, the Domestic Patent Applications by Province, and the Overseas Patent Applications by Country, and their yearly statistics at www.cpt.cn or www.cpahkltd.com/cn/ Publications/staten.htm... 展开更多
关键词 IPR LAWS Patent statistics and IPR Laws Update online
下载PDF
A novel Q-based online model updating strategy and its application in statistical process control for rubber mixing 被引量:2
2
作者 Chunying Zhang Sun Chen +1 位作者 Fang Wu Kai Song 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2015年第5期796-803,共8页
To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to tra... To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to track time-varying properties. Using a few selected support samples to update the model, the strategy could dramat- ically save the storage cost and overcome the adverse influence of low signal-to-noise ratio samples. Moreover, it could be applied to any statistical process monitoring system without drastic changes to them, which is practical for industrial practices. As examples, the Q-based strategy was integrated with three popular algorithms (partial least squares (PIE), recursive PIE (RPLS), and kernel PIE (KPIE)) to form novel regression ones, QPLS, QRPIE and QKPLS, respectively. The applications for predicting mixed rubber hardness on a large-scale tire plant in east China prove the theoretical considerations. 展开更多
关键词 online model updating Rubber mixingQ statistic Hardness Rheological parameters Statistical process control
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部