WEBA differential oscillator detector was constructed to extract fault features of coal machinery equipment, which is constrained by factors such as variable operating conditions and loads. In order to detect multifault characteristic frequency by using differential oscillator detector, the frequency spectrum of differential oscillator phase diagram is analyzed, and a .
WhatsApp: +86 18203695377WEBThe detection and control of tunneling equipment groups based on machine vision has become a research hotspot in the intelligence process of coal mines. This study first introduces the key technologies of a visual detection system, including camera calibration, image preprocessing, feature extraction, visual matching, target segmentation and ...
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WhatsApp: +86 18203695377WEBDec 1, 2021 · For earthquake detection, Meier et al. (2019) developed and compared five machine learning methods, including the dense neural network, recurrent neural network (RNN), RNN with attention, deep convolutional neural network (DCNN), and generative adversarial network with random forest (GANRF). The performance of different methods .
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WhatsApp: +86 18203695377WEBNov 2, 2018 · Alongside CMM in coal mines there are other gases such as CO 2 which may disrupt the CMM gas detection process. Therefore the selectivity to CMM gas is an important parameter for sensor using in ...
WhatsApp: +86 18203695377WEBDec 28, 2023 · Monitoring heavy metals (HMs) across source distance and depth distribution near coal mining sites is essential for preventing environmental pollution and health risks. This study investigated the distribution of selected HMs, cadmium (Cd2+), chromium (Cr2+), copper (Cu2+), manganese (Mn2+), nickel (Ni2+), lead (Pb2+), and .
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WhatsApp: +86 18203695377WEBMar 1, 2020 · In this study, we collect 243 coal samples from five countries and make a comprehensive investigation on the appliion of the NIR analysis to the coal geographical origin identifiion. Firstly, we employ Hotelling's Tsquared for outlier detection and SNV for light ster correction.
WhatsApp: +86 18203695377WEBSep 1, 2019 · These detection methods are easily affected by the coal mine environment, resulting in reduced detection sensitivity or even equipment damage, and requiring frequent replacement of the detection equipment. With the increasing in computer processing speed, machine vision technology has developed rapidly in recent years [9].
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WhatsApp: +86 18203695377WEBFeb 1, 2024 · Coal structure is closely related to microscopic and macroscopic properties of coal, and its accurate identifiion is of great significance to coalbed methane (CBM) reservoir evaluation, hydraulic fracturing performance and production efficiency identifiion of coal structure based on geophysical logging data has .
WhatsApp: +86 18203695377WEBOct 15, 2023 · This paper proposes a new method to predict the unbalanced load distribution at coalloaded wagons based on geometrical features by utilizing extreme learning machines. The proposed method is varied at various hyperparameter values and activation functions, also compared with back propagation artificial neural networks .
WhatsApp: +86 18203695377WEBAbstract: This paper presents a model and instructions for a coal gangue detection method. The separation of coal and gangue is of great significance for environmental protection and efficient resource utilization. As science and technology continue to develop, coal sorting requires intelligent, informationbased, and specialized approaches to .
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WhatsApp: +86 18203695377WEBJan 1, 2022 · Considering that Huainan is an important coal producing area. the coalgangue and coal blocks used in the experiment were obtained from Huainan mining area [11], and 300 coal and gangues with similar sizes were selected for spectral image order to improve the accuracy of detection, not only the multispectral .
WhatsApp: +86 18203695377WEBJul 11, 2018 · Detection of coal fire is the premise to make firefighting plan and is of great significance for their efficient and economical extinguishing (Shao et al. 2017; Shao et al. 2014; Shao et al. 2016). Therefore, before attempting to extinguish coal fire, its loion and underground extent should be determined as precisely as possible. Coal fire ...
WhatsApp: +86 18203695377WEBApr 1, 2021 · Multiinformation online detection of coal quality based on machine vision. Powder Technol. (2020), p. 374, / View PDF View article Google Scholar ... A multiclass support vector machine realtime detection system for surface damage of conveyor belts based on visual saliency. Measurement, 146 (2019), ...
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