Application of Primary Components Analysis in Studying Burst-Prone Indexes of Coal Seam

Burst proneness of coal seam is a necessary condition for rock burst, which tends to study the burst proneness of rock burst mechanism of coal seam. And it is the premise of forecasting the rock burst. Based on mathematical analysis, the primary components analysis (PCA) is used to analyze the burst-prone indexes of coal seam. On the basis of PCA model and scores by experts, some results are computed, which can reflect the co-relations of burst-prone indexes. Through case study, it can be seen that some indexes play very important role in analyzing burst proneness and all the indexes should be considered because the burst proneness risk of coal seam depends on the interaction of all the indexes. Through results analysis and discussion, it is concluded that, under the premise of minimizing the information loss of data, the application of the PCA in the investigation on the burst proneness approved to be practicable.