Coal total moisture content has an observable influence on its calorific this investigation, a rapid detection method of total moisture of coal fine through 1 H lowfield nuclear magnetic resonance (LFNMR) was proposed. The first peak point value and total signal amplitude analyzed by T 2 spectrum were used to fit with the total moisture content of coal.
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WhatsApp: +86 18203695377Spectroscopy has been extensive used in coal identification and analyses. Zeng et al. [17,18] used computer and spectral data to monitor and control the coal moisture of power station boilers, and obtained good control effects. Hu et al. [19] based on spectroscopy and a least squares support vector machine designed a coal quality analysis method.
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WhatsApp: +86 18203695377In this study, we selected fresh coal samples (density g/cm 3, R ° max %) from the 15022 working face of Chicheng Coal Mine. The coal samples were crushed, screened, and divided by a crusher and vibrating screen machine to produce analytical samples with a particle size below 200 mesh.
WhatsApp: +86 18203695377Realizing the rapid measurement of coal moisture content (MC) is of great significance. However, existing measurement methods are timeconsuming and damage the original properties of the samples. To address these concerns, a coal MC intelligent measurement system is designed in this study that integrates microwave spectrum analysis and the distanceweighted knearest neighbor (DWkNN ...
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WhatsApp: +86 18203695377Several methods are available to predict GCV using either moisture content and/or ash yield or using entire proximate and ultimate coal analysis data. These correlations and machine learning prediction tools tend to be too complex and hence are of limited utility for the enduser. For Indian coals, the most widely used simple correlation, based ...
WhatsApp: +86 18203695377The moisture, ash, volatile matter, and fixed carbon contents were used as input variables to predict carbon, hydrogen, and oxygen contents of coal. 70% of 6339 coal samples (4437 data) containing different quality coal types were for the training of the models, whereas the remaining 30% sets of data (1902 data) were used to evaluate the ...
WhatsApp: +86 18203695377Methods such as Xray fluorescence (XRF) and prompt gamma neutron activation analysis (PGNAA) have recently been used for coal analysis and measurements [3] [4] [5][6]. However, these methods can ...
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WhatsApp: +86 18203695377Online coal analyzers began to be developed in the late 1970's and early 1980's in the United States, Australia, and Europe. Most analyzers were one of three types: • Online moisture meters employing microwave technology, • Online ash gauges using gamma ray attenuation technology (collectively known as
WhatsApp: +86 18203695377A: Xray Ash Moisture Content Monitor generates Xrays through cathodic discharge, Xrays penetrate the coal on the belt and reflect the rays on the imaging plate under the coal to form an Xray ...
WhatsApp: +86 18203695377Increasing ash resulted in a lower coal organic content (lower carbon percentage) which reduces the heating value, and growing the moisture content weakens the coal structure and decreases the GCV of samples (negative correlations) (Golshani et al., 2013, Nguyen et al., 2021).
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