Prediction of coal and gas outburst based on catastrophe progression method
In view of problem that inner mechanism of coal and gas outburst was very complex and it was difficult to establish an appropriate multivariate nonlinear prediction model, prediction method of coal and gas outburst based on catastrophe progression method was proposed. The method chooses coal and gas...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2015-05-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.05.008 |
| _version_ | 1797868776922808320 |
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| author | SHEN Zhiwei WANG Enyuan NIU Yue |
| author_facet | SHEN Zhiwei WANG Enyuan NIU Yue |
| author_sort | SHEN Zhiwei |
| collection | DOAJ |
| description | In view of problem that inner mechanism of coal and gas outburst was very complex and it was difficult to establish an appropriate multivariate nonlinear prediction model, prediction method of coal and gas outburst based on catastrophe progression method was proposed. The method chooses coal and gas outburst instances of typical outburst mine as learning samples to determine catastrophe progression with different levels of impact risk, and uses them to predict the other samples. The actual application results show that the method can accurately reflect risk degree of coal and gas outburst and has high prediction accuracy. |
| first_indexed | 2024-04-10T00:01:14Z |
| format | Article |
| id | doaj.art-773d675261fb4a4ab67861c5f0abfe20 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:01:14Z |
| publishDate | 2015-05-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-773d675261fb4a4ab67861c5f0abfe202023-03-17T01:46:44ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2015-05-01415293410.13272/j.issn.1671-251x.2015.05.008Prediction of coal and gas outburst based on catastrophe progression methodSHEN Zhiwei0WANG Enyuan1NIU Yue2School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaKey Laboratory of Gas and Fire Control for Coal Mines, Ministry of Education of China, China UniversiSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaIn view of problem that inner mechanism of coal and gas outburst was very complex and it was difficult to establish an appropriate multivariate nonlinear prediction model, prediction method of coal and gas outburst based on catastrophe progression method was proposed. The method chooses coal and gas outburst instances of typical outburst mine as learning samples to determine catastrophe progression with different levels of impact risk, and uses them to predict the other samples. The actual application results show that the method can accurately reflect risk degree of coal and gas outburst and has high prediction accuracy.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.05.008coal and gas outburstcatastrophe progression methodprediction indexevaluatio |
| spellingShingle | SHEN Zhiwei WANG Enyuan NIU Yue Prediction of coal and gas outburst based on catastrophe progression method Gong-kuang zidonghua coal and gas outburst catastrophe progression method prediction index evaluatio |
| title | Prediction of coal and gas outburst based on catastrophe progression method |
| title_full | Prediction of coal and gas outburst based on catastrophe progression method |
| title_fullStr | Prediction of coal and gas outburst based on catastrophe progression method |
| title_full_unstemmed | Prediction of coal and gas outburst based on catastrophe progression method |
| title_short | Prediction of coal and gas outburst based on catastrophe progression method |
| title_sort | prediction of coal and gas outburst based on catastrophe progression method |
| topic | coal and gas outburst catastrophe progression method prediction index evaluatio |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.05.008 |
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