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Real-Time Prediction Model of Coal and Gas Outburst
Joint Authors
Yandong, Ru
Xingfeng, Lv
Jikun, Guo
Hongquan, Zhang
Lijuan, Chen
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-30
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Coal and gas outburst has been one of the main threats to coal mine safety.
Accurate coal and gas outburst prediction is the key to avoid accidents.
The data is actual and complete by default in the existing prediction model.
However, in fact, data missing and abnormal data value often occur, which results in poor prediction performance.
Therefore, this paper proposes to use the correlation coefficient to complete the missing data filling in real time for the first time.
The abnormal data identification is completed based on the Pauta criterion.
Random forest model is used to realize the prediction model.
The prediction performance of sensitivity 100%, accuracy 97.5%, and specificity 84.6% were obtained.
Experiments show that the model can complete the prediction of coal and gas outburst in real time under the condition of missing data and abnormal data value, which can be used as a new prediction model of coal and gas outburst.
American Psychological Association (APA)
Yandong, Ru& Xingfeng, Lv& Jikun, Guo& Hongquan, Zhang& Lijuan, Chen. 2020. Real-Time Prediction Model of Coal and Gas Outburst. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1193827
Modern Language Association (MLA)
Yandong, Ru…[et al.]. Real-Time Prediction Model of Coal and Gas Outburst. Mathematical Problems in Engineering No. 2020 (2020), pp.1-5.
https://search.emarefa.net/detail/BIM-1193827
American Medical Association (AMA)
Yandong, Ru& Xingfeng, Lv& Jikun, Guo& Hongquan, Zhang& Lijuan, Chen. Real-Time Prediction Model of Coal and Gas Outburst. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1193827
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193827