基于小波神经网络的氧气顶回转炉口火焰温度多光谱测量
[1] 程智海, 蔡小舒. 应用原子特征发射谱线法测量煤粉火焰温度[J]. 动力工程, 2007, 27(6): 918~922
Cheng Zhihai, Cai Xiaoshu. Measurement of pulverized coal flame′s temperature by spectrum analysis of characteristic atomic emissions[J]. Journal of Power Engineering, 2007, 27(6): 918~922
[2] 孙崐, 孙晓刚, 戴景民. 测量爆炸火焰真温的多光谱温度计的研制[J]. 光谱学与光谱分析, 2011, 31(3): 849~852
[3] Ocean Optics. USB4000 Datasheet [OL]. Http://oceanoptics.com/products/usb4000.asp
[4] 戴景民. 多光谱辐射测温技术研究[D]. 哈尔滨: 哈尔滨工业大学, 1995
Dai Jingmin. Study of the Technique of Multi-Spectral Radiation Thermometry[D]. Harbin: Harbin Institute of Technology,1995
[5] 杨永军, 蔡静. 特殊条件下的温度测量[M]. 北京: 中国计量出版社, 2009
Yang Yongjun, Cai Jing. Temperature Measurement Under Special Conditions[M]. Beijing: China Metrology Publishing House, 2009
[6] 杨可苹. 基于小波神经网络的高炉炉温预报模型研究[D]. 浙江: 浙江大学, 2006
Yang Keping. Predictive Models of BF Hot metal Silicon Content Using Wavelet-Networks[D]. Zhejiang: Zhejiang University, 2006
[7] 刘文艺, 汤宝平, 蒋永华. 一种自适应小波消噪方法[J]. 振动, 测试与诊断, 2011, 31(1): 74~77
Liu Wenyi, Tang Baoping, Jiang Yonghua. Research on an adaptive wavelet denoising method[J]. Journal of Vibration, Measurement & Diagnosis, 2011, 31(1): 74~77
[8] 吴占松. 发光火焰的图像处理及其在燃烧检测中的应用[D]. 北京: 清华大学, 1988
Wu Zhansong. Image Processing of the Light Flame Used in Combustion Diagnostics[D]. Beijing: Tsinghua University, 1988
王勇青, 陈延如, 邵艳明, 陈晶晶, 陈斐楠. 基于小波神经网络的氧气顶回转炉口火焰温度多光谱测量[J]. 中国激光, 2012, 39(s1): s108007. Wang Yongqing, Chen Yanru, Shao Yanming, Chen Jingjing, Chen Feinan. Multi-Spectral Measurement of Basic Oxyogen Furnace Flame Temperature Using Wavelet-Networks[J]. Chinese Journal of Lasers, 2012, 39(s1): s108007.