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