Information Fusion Technology and its Application to Intelligent Control System of Ceramic Kiln

Article Preview

Abstract:

This paper applies multi-sensor information fusion technology to intelligent control system of ceramic kiln and proposes a corresponding control scheme. The control scheme is composed of six-layer structures which include four subsystems. Then, compositions, functions and adoptive algorithms of the four subsystems are analyzed. In the end, the whole system control scheme and its work process are analyzed.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 308-310)

Pages:

1525-1530

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] L. K. Zeng, M. Zhang, and H. Y. He: Ceramic Kiln Control and Artificial Neural Network, China Ceramics,Vol.36(2000),pp.33-36

Google Scholar

[2] J. X. Fang, H. F. Talor, H. S. Choi: Fiber-optic fabry-perot flow sensor, Microwave and Optical Technology Letters,Vol.18(1998),p:209-211

DOI: 10.1002/(sici)1098-2760(19980620)18:3<209::aid-mop14>3.0.co;2-z

Google Scholar

[3] D. Baskent, and B. Barshen: Surface profile determination from multi-sensor data using morphological processing, The International Journal of Robotics Research. Vol.18 (1999) , p:788-808

DOI: 10.1177/02783649922066565

Google Scholar

[4] G. Kinoshita, Y. Ikhsan, and Y. Osumi: Object location based on sensor fusion of vision and tactual sensing, Advanced Robotics, Vol.13(2000),p:633-646

DOI: 10.1163/156855399x01855

Google Scholar

[5] Y. N. Wang, and S. T. Li: Multi-sensor information fusion and its application review, Control & Decision(China), Vol.16(2001):518-522

Google Scholar

[6] J. R. Whitely, and J. F. Davis: Observation and problem applying ART-2 for dynamic sensor pattern interpretation, IEEE Trans. on SMC, Vol.26(1996),p:423-437

Google Scholar

[7] S. T. Li, and Y. N. Wang: Multi-sensor image fusion using discrete multi-wavelet transform, Proc of the 3rd Int. Conf on Visual Computing. Mexico:2000,p:93-103

Google Scholar

[8] S. Ben-Yacoub, Y. Abdeljaoued, and E. Mayoran. Fusion of face and speed data for person identity verification, IEEE Trans.on Neural Network, Vol.10(1999), p:1065-1074

DOI: 10.1109/72.788647

Google Scholar