Application of Wavelet Denoising Method in Temperature Data Processing of Coal and Gas Outburst Simulation Test
- 10.2991/icaset-18.2018.8How to use a DOI?
- Coal and gas outburst, Simulation test, Temperature data, Wavelet denoising
The analysis of the evolution of various parameters in the roadway during the process of outburst through the physical simulation test is the development trend of studying the mechanism of the disaster of coal and gas outburst. Because the temperature data obtained by the test carries a lot of noise, this paper chose the threshold denoising method, and used Matlab to analyze the effects of different wavelet decomposition levels and threshold selection methods on the denoising effect. Finally, the wavelet denoising of temperature data was used to obtain more realistic experimental data. By analyzing the temperature variation at different locations, it can be found that the closer the location of the main roadway to the outburst port, the more rapid the temperature change. Due to the attenuation of shock wave energy, the relative change peak value in the temperature of the branch roadway is only about 1/4 that of the main roadway.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jie Cao PY - 2018/04 DA - 2018/04 TI - Application of Wavelet Denoising Method in Temperature Data Processing of Coal and Gas Outburst Simulation Test BT - Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018) PB - Atlantis Press SP - 38 EP - 42 SN - 2352-5401 UR - https://doi.org/10.2991/icaset-18.2018.8 DO - 10.2991/icaset-18.2018.8 ID - Cao2018/04 ER -