• Spectroscopy and Spectral Analysis
  • Vol. 33, Issue 8, 2132 (2013)
CHEN Li1、*, QIN Qi-ming1, ZHEN Guang-wei2, WANG Nan1, BAI Yan-bing1, and CHEN Chao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2013)08-2132-05 Cite this Article
    CHEN Li, QIN Qi-ming, ZHEN Guang-wei, WANG Nan, BAI Yan-bing, CHEN Chao. Super-Low-Frequency Spectrum Analysis for Buried Faults in Coalfield[J]. Spectroscopy and Spectral Analysis, 2013, 33(8): 2132 Copy Citation Text show less

    Abstract

    Based on the super-low-frequency (SLF) electromagnetic detection technology, the advanced detection for the buried fault in the coalfield is still at the exploratory stage, while the technology has a strong practical significance for production and design of the coal mine. Firstly, in this paper, the SLF electromagnetic detection signals were collected in study area. Spectrum analysis of SLF signal by wavelet transform can remove high-frequency noise. Secondly, the profile of the measuring line across the fault was analyzed and interpreted geologically. Accordingly SLF spectrum characteristics of the buried fault could be researched. Finally, combined with the geological and seismic data, the characteristics and distribution of fault structures can be verified in the mining area. The results show that: the buried fault could be detected quickly and effectively by SLF electromagnetic detection. Hence, SLF electromagnetic detection technology is an effective method for buried fault detection.
    CHEN Li, QIN Qi-ming, ZHEN Guang-wei, WANG Nan, BAI Yan-bing, CHEN Chao. Super-Low-Frequency Spectrum Analysis for Buried Faults in Coalfield[J]. Spectroscopy and Spectral Analysis, 2013, 33(8): 2132
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