Feature extraction for safety coalmine gas concentration prewarning based on HHT and SVD
Abstract Background The gas explosion risk caused by gas overrun is a serious threat to safety production in coalmines in China, quantitative determination of the production impact of the gas concentration is very important for reliable safety prewarning in coalmines. In view of the mine gas concent...
Saved in:
| Main Authors: | Dingwen Dong, Yuehao Wang, Wenpei Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07608-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Self-adaptive prediction and prewarning model of mine gas concentration
by: Dingwen Dong
Published: (2025-07-01) -
Network latency clustering for detector placement on macroscopical prewarning
by: HE Hui, et al.
Published: (2006-01-01) -
Noise analysis of continuous gravity data in Hailar Earthquake Monitoring Center Station based on HHT
by: Xinci Zou, et al.
Published: (2025-08-01) -
Computing feature matrices using PCA-SVD hybrid method on small-scale systems
by: Le Tien Hung, et al.
Published: (2024-12-01) -
Prospective pilot study of Floseal® for the treatment of anterior epistaxis in patients with hereditary hemorrhagic telangiectasia (HHT)
by: John M. Lee, et al.
Published: (2019-10-01)