The prediction of water conducted zone in coal mining by Internet of things perception

Author:

Yan Zhenguo,Chang Xintan,Wang Yanping

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference15 articles.

1. Arthur LM, Weakley AT, Griffiths PR et al (2016) Direct-on-filter ?-quartz estimation in respirable coal mine dust using transmission Fourier transform infrared spectrometry and partial least squares regression. Appl Spectrosc 71(5):1014

2. Beneš M, Krupička L. Weak solutions of coupled dual porosity flows in fractured rock mass and structured porous media. 2016, 433(1), pp. 543–565

3. Duan ZH, Wu TTH, Guo SW et al (2018) Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review. Int J Adv Manuf Technol 96(1–4):803–819

4. Gao XD, Sun Y, You DY et al (2015) Multi-sensor information fusion for monitoring disk laser welding. Int J Adv Manuf Technol 85(5–8):1167–1175

5. Liu SL, Li WP, Wang QQ (2017a) Height of the water-flowing fractured zone of the Jurassic coal seam in Northwestern China. Mine Water & the Environment 37(3):312–321

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