Bhaumk A,Banerjee S,Sil J．Designing of intelligent expert control system using PetriNet for grinding mill operation[J]．WSEAS Transactions on Information Science and Applications,2005,2(4):360-365．
[2]
孙丽华,曲莹军,张彦斌,等．钢球磨煤机负荷检测方法的研究及实现[J]．热力发电,2004,33(11):25-27． Sun Lihua,Qu Yingjun,Zhang Yanbing．Study on load detecting method for ball mills in power plant and realization thereof[J]．Thermal Power Generation,2004,33(11):25-27(in Chinese)．
[3]
吴志敏,胡选利,黄协清,等．基于声信号的球磨机煤位监测研究[J]．中国机械工程,1998,9(2):30-33． Wu Zhimin,Hu Xuanli,Huang Xieqing,et al．Study on monitoring of coal level of ball mill based on acoustic signals[J]．China Mechanical Engineering,1998,9(2):30-33(in Chinese)．
[4]
Kang E,Guo Y,Du Y,et al．Acoustic vibration signal processing and analysis in ball mill[C]//Intelligent Control and Automation,Dalian,China,2006．
[5]
汤健,赵立杰,岳恒,等．磨机负荷检测方法研究综述[J]．控制工程,2010,17(5):565-570,574． Tang Jian,Zhao Lijie,Yue Heng,et al．Present status and future developments of detection method for mill load [J]．Control Engineering Of China,2010,17(5):565-570,574(in Chinese)．
[6]
李众,高键,张日勋．一维云模型系统的逼近性研究[J]．自动化学报,2011,37(3):1190-1196． Li Zhong,Gao Jian,Zhang Rixun．On approximation of one-dimension cloud model systems[J]．Acta Automation Sinica,2011,37(3):1190-1196(in Chinese)．
[7]
杨薛明,苑津莎,王剑锋,等,基于云理论的配电网空间负荷预测方法研究[J]．中国电机工程学报,2006,26(6):30-36． Yang Xueming,Yuan Jinsha,Wang Jianfeng,et al．A new spatial forecasting method for distribution network based on cloud theory [J]．Proceedings of the CSEE,2006,26(6):30-36(in Chinese)．
[8]
李如琦,苏浩益,凌武能,等．基于云模型和灰关联投影法的烟气脱硫技术优选[J]．中国电机工程学报,2012,32(23):21-26． Li Ruqi,Su Haoyi,Lin Wuneng,et al．Optimization of flue gas desulphurization technologies based on cloud model and grey relation projection method[J]．Proceedings of the CSEE,2012,32(23):21-26(in Chinese)．
[9]
刘自发,庞铖铖,王泽黎,等．基于云理论和元胞自动机理论的城市配电网空间负荷预测[J]．中国电机工程学报,2013,33(10):98-105． Liu Zifa,Pang Chengcheng,Wang Zeli,et al．Spatial load forecasting for distribution network based on cloud theory and cellular automata[J]．Proceedings of the CSEE,2013,33(10):98-105(in Chinese)．
[10]
吕辉军,王晔,李德毅．逆向云在定性评价中的应用[J]．计算机学报,2003,26(8):30-33． Lü Huijun,Wang Ye,Li Deyi．The application of backward cloud in qualitative evaluation[J]．Chinese Journal of Computers,2003,26(8):30-33(in Chinese)．
[11]
刘常昱,冯芒,戴晓军,等．基于云X信息的逆向云新算法[J]．系统仿真学报,2004,16(11):2417-2420． Liu Changyu,Feng Mang,Dai Xiaojun,et al．A new algorithm of backward cloud [J]．Journal of System Simulation,2004,16(11):2417-2420(in Chinese)．
[12]
蒋嵘,李德毅,范建华．数值型数据的泛概念树的自动生成方法[J]．计算机学报,2000,23(5):470-476． Jiang Rong,Li Deyi,Fan Jianhua．Automatic generation of pan-concept-tree on numerical data[J]．Chinese Journal Of Computers,2000,23(5):470-476(in Chinese)．
[13]
李众,刘艳．一维正态云模型单规则推理映射研究[J]．系统仿真学报,2008,20(3):702-711． Li Zhong,Liu Yan．Research on one-dimension normal cloud model single rule reasoning[J]．Journal Of System Simulation,2008,20(3):702-711(in Chinese)．
[14]
Zeng Y,Forssberg E．Monitoring grinding parameters by vibration signal measurement-a primary application [J]．Minerals Engineering,1994,7(4):495-501．
[15]
方涛,陈乐庚．音频信号用于球磨机料位检测[J]．噪声与振动控制,2012,32(2):143-146． Fang Tal,Chen Legeng．Audio signal analysis for detection of the raw material level in ball mill[J]．Noise And Vibration Control,2012,32(2):143-146(in Chinese)．
[16]
Tang Jian,Zhao Lijie,Yu Wen,Yue Heng．Soft sensor modeling of ball mill load via principal component analysis and support vector machine[C]//Advances in Neural Network Research and Applications．Berlin Heidelberg:Springer,2010:803-810．
[17]
陈昊,李兵．基于云模型的不确定性推理方法[J]．小型微型计算机系统,2011,12(12):2449-2455． Chen Hao,Li Bing．Approach to uncertain reasoning based on cloud model[J]．Journal of Chinese Computer Systems,2011,12(12):2449-2455(in Chinese)．
[18]
Li D,Cheung D,Shi Xuemei,et al．Uncertainty reasoning based on cloud models in controllers[J]．Computers & Mathematics with Applications,1998,35(3):99-123．
[19]
沙毅,曹英禹,郭玉刚．磨煤机振声信号分析及基于BP网的料位识别[J] ．东北大学学报:自然科学版,2006,27(12):1319-1323． Sha Yi,Cao Yingyu,Guo Yugang．Analysis of acoustic signal and bp neural network-based recognition of level of coal in ball mill[J]．Journal of Northeastern University:Natural Science,2006,27(12):1319-1323(in Chinese)．
[20]
Geladi P,Kowalski B R．Partial least-squares regression:a tutorial[J]．Analytica chimica acta,1986(185):1-17．
