编辑: 静看花开花落 | 2019-07-11 |
980 万元,已结题,参与. [8] 国家自然科学基金青年项目,61806143,多智能算法生命周期融合优化模型与方法研究及在微波 滤波器优化设计中的应用,2019.1-2021.12,23 万元,在研,参与 [9] 天津市自然科学基金一般项目,18JCYBJC22000,基于时空多尺度的锂离子动力电池系统智能运 行方法研究,2018.4-2021.3,10 万元,在研,第三参与 [10]天津市科技计划项目,17ZLZXZF00280,民生大数据驱动的社会行为分析与现实挖掘创新方法研 究,2017.10-2018.9,2 万元,结题,第二参与 [11]天津市科技计划项目,16ZLZDZF00150,促进天津市智能机器人产业发展的对策研究,2016.10- 2017.9,10 万元,结题,第三参与. 代表论文: [1]Fang Liu;
Weixing Su;
Jianjun Zhao;
Hanning Chen. Outlier Detection for Control Process Data Based on Improved ARHMM. Wireless Personal Communications, 2018, 103(1): 11~24 ;
SCI, EI [2]Fang Liu;
Ruzhen Dou;
Chaoying Xia. Outlier Detection Based on Wavelet-HMM methods.
2017 3rd International Conference on Innovation Develpment of E-commerce and Logistics, 2017.9.17-2017.9.18 ;
ISTP [3]Fang Liu;
Chaoying Xia;
Ruzhen Dou. The De-nosing Method based on Wavelet Analyse Apply to BMS. Journal of simulation, 2018, 6(3): 25~29 [4]Fang Liu;
Weixing Su;
Jianjun Zhao;
xiaodan Liang. On-line Detection Method for Outliers of Dynamic Instability Measurement Data in Geological Exploration Control Process. Sains Malaysiana, 2017, 46(11): 2205~2213 ;
SCI, EI [5]Liu Fang,Weixing Su,Jianjun Zhao. Abnormal data detection method based on fuzzy autoregressive hidden Markov model. Journal of residuals science &
technology, 2016, 13(8):3231~3238;
ISTP [6]Liu Fang,Weixing Su. ADynamic Outlier Detection Method of Biomedical Time Series. Basic &
Clinical Pharmacology &
Toxicology, 2016, 119(SI):38~38;
SCI [7]Fang Liu;
Zhizhong Mao;
Weixing Su. Outlier detection for process control data based on a non-linear Auto-Regression Hidden Markov Model method. Transactions of the Institute of Measurement and Control, 2012.7.1, 34(5): 527~538 ;
SCI, EI. [8]Fang Liu;
Zhizhong Mao. An online outlier detection method for process control time series.
2011 Chinese Control and Decision Conference(CCDC), 2011/5/23-2011/5/25, pp 3263-3267, 2011/5/23;
EI (Oral paper) [9]刘芳;
白福永;
单冲. 基于电池特性的动态矫正 SOC 估算方法.
2015 中国汽车工程学会年会, 2015/10/27-2015/10/29, pp 332-335, 2015/10/27.(Oral paper) [10]刘芳;
高力;
杨依楠;
刘义强. 基于电池特性的动态矫正剩余电量的方法. 中国, (
0 中华人民共 和国知识产权局 ), 201510576116.4. [11]刘芳;
毛志忠. 过程控制异常值的在线检测方法研究. 计量学报, 34(1), pp 84-89, 2013. [12]刘芳;
高力;
刘阳. 小波去噪方法在动力电池管理系统中的应用.
2013 中国汽车工程学会年会, 2013/11/26-2013/11/28, pp 573-576, 2013/11/26.(Oral paper) [13]刘芳;
毛志忠. 过程控制时间序列中异常值的动态检测. 控制理论与应用,
04 期, pp 424-432, 2012/5. ;
EI. [14]刘芳;
毛志忠. 控制过程异常数据的在线检测. 东北大学学报(自然科学版),
02 期, pp 1........