Weighted Algorithm of Multi-Sensor Data Conflict in Coal-Rock Interface Recognition

Abstract:

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In order to settle such a problem that the multi-sensors data fusion results are not good due to data confliction in the coal-rock interface recognition, the paper first carries out the fusion with D-S evidence theory. The fusion results are not correct when there are high-conflicting in the evidence, so a distance function is introduced and weight fusion correction algorithm is put forward. Through test simulation, fusion results respectively with D-S evidence theory, weight correction algorithm and fuzzy neural network are analyzed. The results show: the good results are achieved in the multi-sensor data conflict of coal-rock recognition through weight fusion correction algorithm, and influence of signal conflict is avoided effectively.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1908-1913

DOI:

10.4028/www.scientific.net/AMM.58-60.1908

Citation:

F. Ren et al., "Weighted Algorithm of Multi-Sensor Data Conflict in Coal-Rock Interface Recognition", Applied Mechanics and Materials, Vols. 58-60, pp. 1908-1913, 2011

Online since:

June 2011

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Price:

$35.00

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