参考文献/References:
[1] 李建平.液化气的安全管理分析[J].化工管理,2014,17:81.
Li Jianping.Analysis of the safety management of liquefied gas[J].Chemical Enterprise Management,2014,17:81.
[2]李战明,陈若珠,张保梅.同类多传感器自适应加权估计的数据级融合算法研究[J].兰州理工大学学报,2006,4:78-82.
Li Zhanming,Chen Ruozhu,Zhang Baomei.Study of adaptive weighted estimate algorithm of congeneric muti-sensor data fusion[J].Journal of Lanzhou University of Technology,2006,4:78-82.
[3]张保梅.数据级与特征级上的数据融合方法研究[D].兰州:兰州理工大学电气工程与信息工程学院,2005.
[4]温卫敏.室内有毒气体监测系统研制[D].西安:西安科技大学电气与控制工程学院,2008.
[5]谢丽明,赵凯,鲁书喜.基于时序加权数据融合的瓦斯预警系统研究[J].煤炭技术,2012,10:192-194.
Xie Liming,Zhao Kai,Lu Shuxi.Research on gas early warning system based on sequence weighted data fusion[J].Coal Technology,2012,10:192-194.
[6]Liao Yi-hung,Chou Jung-chuan.Weighted data fusion use for ruthenium dioxide thin film pH array electrodes[J].IEEE Sensors Journal,2009:842-848.
[7]翟翌立,戴逸松.多传感器数据自适应加权融合估计算法的研究[J].计量学报,1998(1):70-76.
Zhai Yuli,Dai Yisong.Research on adaptive weighted fusion estimation algorithm ofmulti-sensor data[J].Acta Metrologica Sinica,1998(1):70-76.
[8]刘先省,胡振涛.测量方差自学习加权下的多传感器数据融合算法[J].现代雷达,2005(4):28-31.
Liu Xianxing,Hu Zhentao.Multi-sensor filter fusion algorithm based on measured variance self-learning weighting[J].Modern Radar,2005(4):28-31.
[9]仲崇权,张立勇,杨素英,等.基于最小二乘原理的多传感器加权融合算法[J].仪器仪表学报,2003(4):427-430.
Zhong Chongquan,Zhang Liyong,Yang Suying,et al.A weighted fusion algorithm of multi-sensor based on the principle of least squares[J].Chinese Journal of Scientific Instrument,2003(4):427-430.
[10]张应安,刘振翼,王峰,等.含CO2液化气燃烧爆炸特性实验研究[J].天然气工业,2009(6):110-112.
Zhang Ying'an,Liu Zhenyi,Wang Feng,et al.Experimental study on combustion characteristics of liquefied gas with CO2[J].Natural Gas Industry,2009(6):110-112.
[11]钱樨成.纺织材料静电现象的解决途径[J].棉纺织技术,1981(4):7-11.
Qian Xicheng.Solution of the phenomenon of electrostatic in textile materials[J].Cotton Textile Technology,1981(4):7-11