Background thermal noise correction methodology for average infrared radiation temperature of coal under uniaxial loading

This paper proposes a new background thermal noise correction (BTNC) Methodology for better utilization of average infrared radiation temperature (AIRT) as a precursor for rock fracturing and failure under uniaxial loading. The key innovative concept in the proposed Methodology is the introduction of control samples in the thermal infrared experimental setup. A strong linear correlation was observed between the background thermal noise (BTN) of the test samples and that of control samples, which was used to develop the AIRT-BTNC model. By utilizing the AIRT-BTNC model, the signal-to-noise ratio (SNR) of AIRT can be improved by two orders of magnitude from a mean value of 0.40-70.69. The variation in the AIRT after BTNC on the surface of the uniaxial loading coal samples can be categorized into two types instead of the three reported by previous researchers. The above achievements will be useful in monitoring and forecasting the natural and engineering hazards related to rock/coal structural failures during mining activities.