Evaluation of top coal cavability based on PCA-FDA model
In order to evaluate top coal cavability reasonably, and determine whether coal seam is suitable for top-coal caving.The top coal cavability evaluation model (PCA-FDA) was established by combining principal component analysis(PCA) and Fisher discrimination analysis(FDA).Six influential factors were...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Emergency Management Press
2018-08-01
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| Series: | 矿业科学学报 |
| Subjects: | |
| Online Access: | http://kykxxb.cumtb.edu.cn/article/id/159 |
| _version_ | 1811220397890207744 |
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| author | Xue Liming Zheng Zhixue Su Chao Li Changming Liu Baokang Li Hongliang |
| author_facet | Xue Liming Zheng Zhixue Su Chao Li Changming Liu Baokang Li Hongliang |
| author_sort | Xue Liming |
| collection | DOAJ |
| description | In order to evaluate top coal cavability reasonably, and determine whether coal seam is suitable for top-coal caving.The top coal cavability evaluation model (PCA-FDA) was established by combining principal component analysis(PCA) and Fisher discrimination analysis(FDA).Six influential factors were selected as sample variances for top coal cavability evaluation including the coal seam depth, uniaxial compressive strength of coal, coal thickness of seam folder gangue layer, thickness of coal seam, the development degree of the coal seam joint and fractures and coefficient of direct top filling.PCA was used to eliminate overlapping information in the variables, thus four principal components are extracted as the discriminant factors of FDA.FDA is applied to learn and train measured data of 23 top-coal caving mining face in China.Meanwhile, back substitution estimation method was adopted to verify the model effect, and accuracy is very high up to 91.30%.Finally the established evaluation model was applied in two engineering projects in Shan'xi province, and results show that this evaluation method is scientific, reasonable and reliable.The model can provide a scientific reference for evaluation of top coal cavability and technology parameters selection in top coal caving. |
| first_indexed | 2024-04-12T07:41:00Z |
| format | Article |
| id | doaj.art-729718d99a4747d5a5377324e26741c4 |
| institution | Directory Open Access Journal |
| issn | 2096-2193 |
| language | English |
| last_indexed | 2024-04-12T07:41:00Z |
| publishDate | 2018-08-01 |
| publisher | Emergency Management Press |
| record_format | Article |
| series | 矿业科学学报 |
| spelling | doaj.art-729718d99a4747d5a5377324e26741c42022-12-22T03:41:49ZengEmergency Management Press矿业科学学报2096-21932018-08-013435636310.19606/j.cnki.jmst.2018.04.00620180406Evaluation of top coal cavability based on PCA-FDA modelXue Liming0Zheng Zhixue1Su Chao2Li Changming3Liu Baokang4Li Hongliang5College of Resources and Safety Engineering, China University of Mining and Technology, Beijing 100083College of Engineering, Peking University, Beijing 100871College of Resources and Safety Engineering, China University of Mining and Technology, Beijing 100083College of Resources and Safety Engineering, China University of Mining and Technology, Beijing 100083College of Resources and Safety Engineering, China University of Mining and Technology, Beijing 100083College of Resources and Safety Engineering, China University of Mining and Technology, Beijing 100083In order to evaluate top coal cavability reasonably, and determine whether coal seam is suitable for top-coal caving.The top coal cavability evaluation model (PCA-FDA) was established by combining principal component analysis(PCA) and Fisher discrimination analysis(FDA).Six influential factors were selected as sample variances for top coal cavability evaluation including the coal seam depth, uniaxial compressive strength of coal, coal thickness of seam folder gangue layer, thickness of coal seam, the development degree of the coal seam joint and fractures and coefficient of direct top filling.PCA was used to eliminate overlapping information in the variables, thus four principal components are extracted as the discriminant factors of FDA.FDA is applied to learn and train measured data of 23 top-coal caving mining face in China.Meanwhile, back substitution estimation method was adopted to verify the model effect, and accuracy is very high up to 91.30%.Finally the established evaluation model was applied in two engineering projects in Shan'xi province, and results show that this evaluation method is scientific, reasonable and reliable.The model can provide a scientific reference for evaluation of top coal cavability and technology parameters selection in top coal caving.http://kykxxb.cumtb.edu.cn/article/id/159top coal cavabilityevaluationprincipal component analysisfisher discrimination analysis |
| spellingShingle | Xue Liming Zheng Zhixue Su Chao Li Changming Liu Baokang Li Hongliang Evaluation of top coal cavability based on PCA-FDA model 矿业科学学报 top coal cavability evaluation principal component analysis fisher discrimination analysis |
| title | Evaluation of top coal cavability based on PCA-FDA model |
| title_full | Evaluation of top coal cavability based on PCA-FDA model |
| title_fullStr | Evaluation of top coal cavability based on PCA-FDA model |
| title_full_unstemmed | Evaluation of top coal cavability based on PCA-FDA model |
| title_short | Evaluation of top coal cavability based on PCA-FDA model |
| title_sort | evaluation of top coal cavability based on pca fda model |
| topic | top coal cavability evaluation principal component analysis fisher discrimination analysis |
| url | http://kykxxb.cumtb.edu.cn/article/id/159 |
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