Application research of fuzzy data fusion technology with multi-sensor in crystallization process

被引:0
作者
Song, XL [1 ]
Liu, CY [1 ]
Song, ZY [1 ]
机构
[1] Hebei Univ Sci & Technol, Coll Elect Engn & Informat Sci, Shijiazhuang 050054, Hebei, Peoples R China
来源
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词
crystallization process; data fusion; fuzzy control; control system simulation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The control system of crystallization process is a complex system with multiple parameters. The requirement of control in different stage is variable. This paper introduces crystallization process methodology and discusses the judgment of the system running stage with multi-sensor fuzzy data fusion. The simulation result shows that the fuzzy data fusion algorithm is very effective to judge the running stage.
引用
收藏
页码:878 / 881
页数:4
相关论文
共 50 条
[31]   Data Fusion and Trajectory Prediction of Multi-Sensor [J].
Ma Liang-liang ;
Tian Fu-peng .
12TH ANNUAL MEETING OF CHINA ASSOCIATION FOR SCIENCE AND TECHNOLOGY ON INFORMATION AND COMMUNICATION TECHNOLOGY AND SMART GRID, 2010, :213-218
[32]   A research on fatigue crack growth monitoring based on multi-sensor and data fusion [J].
Chang Qi ;
Yang Weixi ;
Liu Jun ;
Gao Heming ;
Meng Yao .
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 20 (03) :848-860
[33]   Modified Wavelet Transformation Algorithms and Its Application in Multi-Sensor Data Fusion [J].
Liu, Suyi ;
Wang, Shuqing .
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, :4986-+
[34]   Analysis Of Application Of Multi-Sensor Data Fusion In Deceleration Early Warning System [J].
Cao Xin ;
Zhou Hui ;
Liu Dan ;
Wu Wenbo ;
Zhu Yun .
2018 3RD INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE), 2018, :557-561
[35]   The application of multi-sensor data fusion in modern electronic-optical system [J].
Tan, ZJ ;
Fang, ZH ;
Yu, Y ;
Chen, T ;
Guo, LH ;
Xing, ZB .
ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, :3743-3746
[36]   Research on Equipment Fault Diagnosis Method Based on Multi-sensor Data Fusion [J].
Ma Bin ;
Hao Linchong ;
Zhang Wanjiang ;
Dai Jing ;
Han Zhonghua .
INTELLIGENT SYSTEM AND APPLIED MATERIAL, PTS 1 AND 2, 2012, 466-467 :1222-1226
[37]   Research on the method of data fusion orbit determination based on TDRSS and multi-sensor [J].
Pan, XG ;
Zhao, DY ;
Zhou, HY ;
Liu, J .
ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 7, 2005, :198-203
[38]   Multi-sensor data fusion and its application prospects in structural health monitoring [J].
Wang, T ;
Li, J .
8th International Conference on Inspection Appraisal Repairs & Maintenance of Structures, 2003, :139-146
[39]   The Design and Application of Multi-Sensor Data Fusion in Open System Architecture of Avionics [J].
Li, Jing ;
Hu, Xiaoguang ;
Huang, Dayu ;
Zhou, Qing .
PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, :2033-2037
[40]   Multi-Sensor Data Fusion in Cluster based Wireless Sensor Networks Using Fuzzy Logic Method [J].
Manjunatha, P. ;
Verma, A. K. ;
Srividya, A. .
IEEE REGION 10 COLLOQUIUM AND THIRD INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, VOLS 1 AND 2, 2008, :669-674