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      MEMS Inertial Sensor for Strata Stability Monitoring in Underground Mining: An Experimental Study

      1 , 1 , 2 , 3 , 4 , 5
      Shock and Vibration
      Hindawi Limited

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          Abstract

          To investigate the fracture and deformation characteristics of the strata in underground mining as well as the effectiveness and sensitivity of the MEMS inertial sensor for strata stability monitoring, a low cost, small size, and easy implementation inertial MEMS sensor module was redeveloped. Sensor modules were installed on roof strata in an underground mining equivalent material simulation experiment. Then, monitoring signal of two modules near the middle and end section of caving strata was processed. The processed signal presents stepped change, and each step consists a vibration stage and a stable stage. Further analysis of each stage, a strategy to estimate the deformation and stability of strata, can be reached: the duration of each vibration stage and complete stage with rising trend indicates that the deformation of strata is growing to the ultimate state. In this study, this method could recognize the destructive deformation of strata at least 1 hour before the strata caving.

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          Microseismic multi-parameter characteristics of rockburst hazard induced by hard roof fall and high stress concentration

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            Microseismic frequency-spectrum evolutionary rule of rockburst triggered by roof fall

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              Back-analysis of rock mass strength parameters using AE monitoring data

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                Author and article information

                Journal
                Shock and Vibration
                Shock and Vibration
                Hindawi Limited
                1070-9622
                1875-9203
                June 04 2018
                June 04 2018
                : 2018
                : 1-8
                Affiliations
                [1 ]School of Mining Engineering, Guizhou Institute of Technology, Guiyang 550003, China
                [2 ]School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4067, Australia
                [3 ]School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney 2052, Australia
                [4 ]College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, China
                [5 ]State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China
                Article
                10.1155/2018/4895862
                973ad910-d578-4a21-890b-6d8bb489d2fc
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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