Based on D - S Evidence Theory of Solution Concentration Detection Method Research

Xian Bao Wang; Shi Hai Zhao; Guo Wei

doi:10.4028/www.scientific.net/AMM.494-495.869

Paper Titles

Heterogeneous PLC Control Communications and Fault Intelligent Diagnosis
p.853

Design and Implementation of Electrostatic Parameters Network Monitoring System
p.857

Development on Fault Detection and Diagnosis of Unmanned Aerial Vehicles
p.861

Synchronized Diagnosis of Laser-Pulse MAG Hybrid Arc Based on Multi-Information
p.865

Based on D - S Evidence Theory of Solution Concentration Detection Method Research
p.869

Test Case Generating for Integrated Modular Avionics Software Health Monitoring
p.873

The Design of Indoor Humidity Temperature and Harmful Gas Monitoring System Based on Single Chip
p.881

Residual Fault Detection Filter Design in the Finite Frequency Domain Based on LMI Optimization
p.885

A Non-Invasive Oil Temperature Measurement Technology Based on Heat Transfer Model
p.890

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Based on D - S Evidence Theory of Solution...

Based on D - S Evidence Theory of Solution Concentration Detection Method Research

Abstract:

According to the theory of multi-sensor information fusion technology, based on D - S evidence theory to fuse of multiple sensors feedback information from different angles for detecting solution concentration, and achieving the same judgment; This system uses of D - S evidence theory of multi-sensor data fusion method, not only make up the disadvantages of using a single sensor, but also largely reduce the uncertainty of the judgment. Additionally this system improves the rapidity and accuracy of the solution concentration detection, and broadens the application field of multi-sensor information fusion technology.

You might also be interested in these eBooks

Current Development of Mechanical Engineering and Energy

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

869-872

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.869

Citation:

Cite this paper

Online since:

February 2014

Authors:

Xian Bao Wang*, Shi Hai Zhao, Guo Wei

Keywords:

D-S Evidence Theory, Information Fusion, Multiple Sensors, Solution Concentration

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Zang Dajin, Wang Yuecai. Multi-sensor information fusion technology review. [J]. Journal of industrial automation, 2005(6) : 30-32.

Google Scholar

[2] L.A. Kein. Sensor and Data Fusion Concepts and Applications. SPIE OPt. Engineering Press, Tutorial Texts. vol. 14. (1993).

Google Scholar

[3] Li Ming, Liu Pin. Built-in two-way force full immersion float type liquid density measurement [J]. Journal of petroleum and natural gas chemical industry, 2000(29): 319-320.

Google Scholar

[4] Fan Zhishun, solution density detection method based on differential pressure sensor [J]. Chinese test, 2009, 35 (4).

Google Scholar

[5] Wang Xinggang, Li Jinmei. Electromagnetic concentration meter application in mercerizing alkali detection [J]. Journal of printing and dyeing, 2003(4): 28-30.

Google Scholar

[6] Ding Shijun. Independent network ellipsoid transformation and coordinate transformation research [J]. Bulletin of surveying and mapping, 2008(8) : 4-6.

Google Scholar