Gas monitoring data anomaly identification based on spatio-temporal correlativity analysis-Reference-Cited by-同舟云学术

Gas monitoring data anomaly identification based on spatio-temporal correlativity analysis

Published:2013-02-08 Issue:1 Volume:19 Page:8-13
ISSN:1006-9097
Container-title:Journal of Coal Science and Engineering (China)
language:en
Short-container-title:J Coal Sci Eng China

Author:

Zhu Shi-song,Wang Yun-jia,Wei Lian-jiang

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology

Link

http://link.springer.com/content/pdf/10.1007/s12404-013-0102-y.pdf

Reference14 articles.

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3. Hu Q T, Liang Y P, Liu J Z, 2007. CFD simulation of goaf gas flow patterns. Journal of China Coal Society, 32(7): 719–723.

4. Jin L Z, Yao W, Zhang J, 2010. CFD simulation of gas seepage regularity in goaf. Journal of China Coal Society, 35(9): 1476–1480.

5. Lu P, Ma Y G, Zhou X Q, 2006. Research and application on dynamic forecasting model of gas consistence in top corner. Journal of China Coal Society, 31(4): 461–465.

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