Conclusions compared using Singularity -point Couple JR and Positive -negative Phase JR for distinguishing rock from coal
Abstract：Using digital signal processing technology to process the vibration signals of coal and stone bumping the conveyer, we can control the hydraulic support instantly according to the identification results of real - time distinguishing rock from coal. In this paper, five groups of vibration signals sampled with the speed 250k samples/sec during caving are analyzed by the wavelet transform modulus - maxima method and the first order forward difference（FOFD） method respectively. We define the concept of Singularity - point Couple in wavelet domain and the concept of Positive - negative Phase in time domain based upon the characteristics of vibration signals in different analyzed domain. Based upon the concept of Singularity - point Couple and Positive - negative Phase, the Judgement Rule（JR） for distinguishing rock from coal is proposed individually in two domain to identify rock from coal automatically. From the efficiency and reliability of JR, the Positive - negative Phase JR is superior to the Singularity - point Couple JR. From the perspective laws of the analyzed data, the Singularity - point Couple JR is better than the Positive - negative Phase JR.
Keywords：Coal - Stone Vibration signalwavelet transformFOFDSingularity - point CouplePositive - negative PhaseJudgement Rule
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 21-24 )