China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (12): 118-124.doi: 10.16265/j.cnki.issn1003-3033.2022.12.0134
• Safety engineering technolongy • Previous Articles Next Articles
ZHANG Lidong1(), SONG Zeyang1,2,**(), LUO Zhenmin1,3, ZHAO Shanshan1
Received:
2022-07-15
Revised:
2022-10-13
Online:
2022-12-28
Published:
2023-06-28
Contact:
SONG Zeyang
ZHANG Lidong, SONG Zeyang, LUO Zhenmin, ZHAO Shanshan. Prediction of coal spontaneous combustion period based on machine learning[J]. China Safety Science Journal, 2022, 32(12): 118-124.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.cssjj.com.cn/EN/10.16265/j.cnki.issn1003-3033.2022.12.0134
[1] |
李林, 姜德义, BEAMISH B B. 基于绝热实验活化能解算煤自然发火期[J]. 煤炭学报, 2010, 35(5):802-805.
|
|
|
[2] |
余明高, 黄之聪, 岳超平. 煤最短自然发火期解算数学模型[J]. 煤炭学报, 2001, 26(5):516-519.
|
|
|
[3] |
陈晓坤, 王晨熹, 翟小伟. 基于热爆炸理论的煤燃点确定及动力学分析[J]. 中国安全科学学报, 2022, 32(2):59-65.
doi: 10.16265/j.cnki.issn1003-3033.2022.02.009 |
doi: 10.16265/j.cnki.issn1003-3033.2022.02.009 |
|
[4] |
张巨峰, 施式亮, 鲁义, 等. 大数据下瓦斯与煤自燃共生灾害智能预警系统:数据特征、应用架构、关键技术[J]. 中国安全科学学报, 2021, 31(9):60-66.
doi: 10.16265/j.cnki.issn1003-3033.2021.09.009 |
doi: 10.16265/j.cnki.issn1003-3033.2021.09.009 |
|
[5] |
doi: 10.1016/j.proci.2020.07.016 |
[6] |
doi: S0304-3894(19)30038-X pmid: 30673621 |
[7] |
doi: 10.1016/j.jhazmat.2008.02.057 |
[8] |
谭波, 邵壮壮, 郭岩, 等. 基于指标气体关联分析的煤自燃分级预警研究[J]. 中国安全科学学报, 2021, 31(2):33-39.
doi: 10.16265/j.cnki.issn 1003-3033.2021.02.005 |
doi: 10.16265/j.cnki.issn 1003-3033.2021.02.005 |
|
[9] |
doi: 10.1016/j.eswa.2010.08.015 |
[10] |
doi: 10.1016/j.fuel.2018.03.005 |
[11] |
doi: 10.1016/j.energy.2020.118790 |
[12] |
张嬿妮, 张帆, 邓军, 等. 不同煤层煤氧化自燃性实验分析[J]. 中国安全生产科学技术, 2018, 14(10):39-45.
|
|
|
[13] |
马砺, 雷昌奎, 张志鹏, 等. 基于GM(0,N)模型的煤自然发火期预测[J]. 辽宁工程技术大学学报:自然科学版, 2016, 35(9):902-907.
|
|
|
[14] |
doi: 10.1016/j.dsp.2015.08.004 |
[15] |
doi: 10.1016/j.enconman.2017.02.006 |
[16] |
doi: 10.4028/www.scientific.net/AMM.685.259 |
[1] | HE Shubo, XIANG Wei, SHI Zhongmiao. Risk early warning of electric vehicle battery system based on machine learning [J]. China Safety Science Journal, 2023, 33(2): 159-165. |
[2] | LI Shuai, LIAN Zhanghua, DING Lingling, LIAO Tao. Prediction model of sustained annular pressure of gas wells under multi-factor coupling effect [J]. China Safety Science Journal, 2023, 33(2): 166-172. |
[3] | ZHU Tong, QIN Dan, WEI Wen, REN Jie, FENG Yidong. Research on accident risk identification and influencing factors of bus drivers based on machine learning [J]. China Safety Science Journal, 2023, 33(2): 23-30. |
[4] | MENG Xianghai, YOU Bingyu, QIU Zhixiong, LI Zhixiao, ZHANG Mingyang. Accident prediction model of mountainous freeway based on crash modification factors [J]. China Safety Science Journal, 2023, 33(1): 10-17. |
[5] | YANG Peipei, XIONG Jian, HE Yangfan. Anxiety level model of drivers on sharp circular curve road [J]. China Safety Science Journal, 2023, 33(1): 227-232. |
[6] | JIN Lianghai, CHEN Ying, YANG Yingliu, SHAO Bo. Generalized algebraic difference approach prediction model for elevator equipment safety accidents rate [J]. China Safety Science Journal, 2023, 33(1): 64-69. |
[7] | CHEN Yongqiang, WU Zhipeng, YANG Xiangjuan, CHEN Pu, SUN Shuli. Review on regional seismic analysis software [J]. China Safety Science Journal, 2022, 32(9): 126-136. |
[8] | ZHU Xin, LI Jianwei, GUO Wei, BI Sheng, WU Yuefei. Forest fire risk prediction model based on machine learning [J]. China Safety Science Journal, 2022, 32(9): 152-157. |
[9] | WU Xianguo, FENG Zongbao, LIU Jun, WANG Lei, CHEN Hongyu, LI Xinyi. Multi-objective optimization of surface settlement safety control during shield construction based on RF-NSGA-II [J]. China Safety Science Journal, 2022, 32(8): 45-51. |
[10] | ZHANG Kai, ZHANG Ke. Prediction study on slope stability based on LightGBM algorithm [J]. China Safety Science Journal, 2022, 32(7): 113-120. |
[11] | TANG Tao, GAN Jing. A train running time prediction model based on domestic and foreign railway operation data [J]. China Safety Science Journal, 2022, 32(6): 123-130. |
[12] | LIU Kun, JIAO Yubo, ZHANG Xiaoming, CHEN Xiaoyu, JIANG Chaozhe. Test of railway train drivers' stress by using ECG signal [J]. China Safety Science Journal, 2022, 32(6): 31-37. |
[13] | LIU Quanyi, ZHU Bo, DENG Li, SHI Hang, LIANG Guanghua. Double parameters fire detection method based on machine learning [J]. China Safety Science Journal, 2022, 32(5): 90-96. |
[14] | YANG Wenchen, ZHOU Yanning, TIAN Bijiang, GUO Fengxiang, HU Chengyu. Traffic accident severity prediction for secondary highways based on cluster analysis and SVM model [J]. China Safety Science Journal, 2022, 32(5): 163-169. |
[15] | GAO Yunji, LUO Yueyang, LI Zhisheng, ZHANG Yuchun, YU Yangyang, LI Tao. Experimental study on smoke back-layering length and temperature distribution in bifurcation tunnels [J]. China Safety Science Journal, 2022, 32(3): 109-115. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||