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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 58-60)
• Pages: 1908-1913
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.58-60.1908
• Online since: June 2011
• Authors: Fang Ren, Zheng Yan Liu, Zhao Jian Yang
• Keywords: Coal-Rock Interface Recognition, Data Conflict, D-S Evidence Theory, Weight Correction Algorithm

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DOI: 10.1016/s1566-2535(01)00026-4

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