Applying feature extraction of acoustic emission and machine learning for coal failure forecasting

Applying feature extraction of acoustic emission and machine learning for coal failure forecasting

Recently, with increasing mining scale, intensity, and depth, the geological and mining conditions in coal mines are becoming more complicated; therefore, it has resulted in a more difficult situation of coal mine dynamic hazards, including rockburst, coal and gas outburst etc. Dynamic hazards are n...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Zhen-lei LI, Na LI, Fei YANG, Aleksei SOBOLEV, Da-zhao SONG, Hong-lei WANG, Ran NA, Ya-li CAO
Format: Artykuł
Język:zho
Wydane: Science Press 2023-01-01
Seria:工程科学学报
Hasła przedmiotowe:
dynamic hazards
monitoring and early warning
acoustic emission
machine learning
mel-frequency cepstral coefficient
feature extraction
Dostęp online:http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2022.02.07.003

Internet

http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2022.02.07.003

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