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Combustion Science and Technology Volume 194, 2022 - Issue 3
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Research Article

A Method for Predicting Coal Temperature Using CO with GA-SVR Model for Early Warning of the Spontaneous Combustion of Coal

Qing Guoa School of Safety Engineering, China University of Mining and Technology, Xuzhou, China;b Key Laboratory of Gas and Fire Control for Coal Mines, China University of Mining & Technology, Xuzhou, ChinaView further author information
,
Wanxing Rena School of Safety Engineering, China University of Mining and Technology, Xuzhou, China;b Key Laboratory of Gas and Fire Control for Coal Mines, China University of Mining & Technology, Xuzhou, ChinaCorrespondence[email protected]
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&
Wei Luc College of Mining and Safety Engineering, Shandong University of Science and Technology, Shandong, ChinaView further author information
Pages 523-538 | Received 22 Dec 2019, Accepted 17 May 2020, Published online: 04 Jun 2020

Citations (14)

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Read on this site (4)

Xiu-Feng Zhang & Xuan-Xuan Zhou. (2023) Experimental Study on Wall Temperature and Heat Transfer Characteristics of Gravity Heat Pipe by Heat Input Power and Working Materials. Combustion Science and Technology 195:10, pages 2311-2326.
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Xingpan Zhu & Hu Wen. (2023) Application of multi-index grey target decision method in prediction of coal temperature in goaf. Combustion Science and Technology 0:0, pages 1-15.
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Shi-Lei Yu & Xin Liu. (2022) Study on Multi-Indicator Quantitative Risk Evaluation Methods for Different Periods of Coal Spontaneous Combustion in Coal Mines. Combustion Science and Technology 0:0, pages 1-14.
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Yanqiang Xu, Shengqiang Yang, Zhixu Zhang, Jinrui Miao, Jinhui Li & Huadi Shao. (2022) Risk identification of coal spontaneous combustion in goaf based on variable weight grey target model. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:2, pages 5440-5454.
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Articles from other publishers (10)

Qiuyan Pei, Zhichao Jia, Jia Liu, Yi Wang, Junhui Wang & Yanqi Zhang. (2024) Prediction of Coal Spontaneous Combustion Hazard Grades Based on Fuzzy Clustered Case-Based Reasoning. Fire 7:4, pages 107.
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Hongxia Li, Yiru Zhang & Wanli Yang. (2023) Gas explosion early warning method in coal mines by intelligent mining system and multivariate data analysis. PLOS ONE 18:11, pages e0293814.
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Caiping Wang, Yuxin Du, Yin Deng, Yu Zhang, Jun Deng, Xiaoyong Zhao & Xiadan Duan. (2023) Study on Spontaneous Combustion Characteristics and Early Warning of Coal in a Deep Mine. Fire 6:10, pages 396.
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Yongxia Yang, Pan Gao, Zhangtong Sun, Haoyu Wang, Miao Lu, Yingying Liu & Jin Hu. (2023) Multistep ahead prediction of temperature and humidity in solar greenhouse based on FAM-LSTM model. Computers and Electronics in Agriculture 213, pages 108261.
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Feiran Wang, Zhansuo Ji, Haiyan Wang, Yue Chen, Tao Wang, Ruoyi Tao, Chang Su & Guchen Niu. (2023) Analysis of the Current Status and Hot Technologies of Coal Spontaneous Combustion Warning. Processes 11:8, pages 2480.
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Qing Guo, Wanxing Ren & Wei Lu. (2022) New classification method of coal spontaneous combustion three zones in the goaf based on non-parametric kernel density estimation. Environmental Science and Pollution Research 30:2, pages 4733-4743.
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Mohammed Alamoudi, Osman Taylan, Behrooz Keshtegar, Mona Abusurrah & Mohammed Balubaid. (2022) Modeling Sulphur Dioxide (SO2) Quality Levels of Jeddah City Using Machine Learning Approaches with Meteorological and Chemical Factors. Sustainability 14:23, pages 16291.
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Xu Zhou, Shangsheng Ren, Shuo Zhang, Jiuling Zhang & Yibo Wang. (2022) Risk Evaluation Model of Coal Spontaneous Combustion Based on AEM-AHP-LSTM. Mathematics 10:20, pages 3796.
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Shuang Li, Kun Xu, Guangzhe Xue, Jiao Liu & Zhengquan Xu. (2022) Prediction of coal spontaneous combustion temperature based on improved grey wolf optimizer algorithm and support vector regression. Fuel 324, pages 124670.
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Lingxiao Shangguan, Yunfei Yin, Qingtao Zhang, Qun Liu, Wei Xie & Zejiao Dong. (2022) Icing Time Prediction Model of Pavement Based on an Improved SVR Model with Response Surface Approach. Applied Sciences 12:16, pages 8109.
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