WEBDec 8, 2023 · During the extraction and processing of coal, a large amount of solid waste, collectively known as gangue, is produced. This gangue has a low carbon content but a high ash content, accounting for approximately 15 to 20% of the total coal yield. Before coal is used, coal and gangue must be effectively separated to reduce the gangue .
WhatsApp: +86 18037808511WEBJun 14, 2023 · In recent years, classifiion methods for images of coal‐ and gangue‐based convolutional neural networks have emerged, which makes the analysis process simple and fast.
WhatsApp: +86 18037808511WEBMar 1, 2023 · Machine learning is best suited to classifiion problems, and classifiion models that invert the structure of the coal body from logging data meet this requirement. In most studies, due to the overflow of computing power, the results of traditional machine learning algorithms are accurate, while neural networks waste .
WhatsApp: +86 18037808511WEBJun 12, 2022 · The class labels of collected coal and gas outbursts sample data may be wrong, if these collected sample data are directly used for outbursts classifiion, the accuracy and efficiency are very low. In this paper, a novel hybrid model that integrates fuzzy cmeans clustering based on isometric mapping feature extraction and Bayesian .
WhatsApp: +86 18037808511WEBExtruded coal crusher mainly includes jaw crusher, cone crusher, roller crusher and so on. The working principle is: the material in the crusher fixed toothed plate and movable tooth plate squeezed, splitting and bending and was broken. Mainly used for hard material crushing, widely used in the field of metal mines and crushed stone.
WhatsApp: +86 18037808511WEBJan 1, 2016 · The coal seams are capable of applying to mining technology b y coal cutting machine were assessed at the 8. 7 and 6 seams as follows: + Hydrogeology conditions: T he coal seams are cap able of ...
WhatsApp: +86 18037808511WEBJan 19, 2024 · In the process of coal mining, one of the main reasons for the high labor intensity of workers and the frequent occurrence of casualties is the low level of intelligence of coal mining equipment. As the core equipment in the process of coal mining, the intelligence level of shearers directly affects the safety production and mining efficiency .
WhatsApp: +86 18037808511WEBMar 11, 2024 · Since 1864, underground mining equipment manufacturer Eickhoff has been improving the lives of coal miners with the production of coal mining machines, having made the first coal cutting system in ...
WhatsApp: +86 18037808511WEBClassifiion of water cutting. Water cutting can be divided into different egories based on various factors. These include: ... characterized by the emergence of a large number of highpressure waterjet coal mining machines, cutting machines, and cleaning machines; and the rapid development of highpressure waterjets since the 1980s ...
WhatsApp: +86 18037808511WEBIn this research, two groups of seismic events with a minimum local magnitude (ML) of −3 were observed in an underground coal mine. They were respectively loed around a dyke and the longwall face. Additionally, two types of undesired signals were also recorded. Four machine learning methods, random forest (RF), support vector machine ...
WhatsApp: +86 18037808511WEBOct 1, 2019 · The accurate recognition of the shearer cutting pattern is the focus in fully mechanized coal mining. Hence, a new cutting pattern recognition model based on the combination of Relevance Vector Machine (RVM) and Chaotic Gravitational Search Algorithm (CGSA) is proposed.
WhatsApp: +86 18037808511WEBConfidence machine based on support vector machine (CMSVM) was built and applied to the classifiion of coal samples via NIRS. Confidence machine is a probabilistic algorithm and instead of using hyper plane (SVM) to carry out the classifiion, using probability (CMSVM) turned to be more effective which had % of the samples .
WhatsApp: +86 18037808511WEBDec 5, 2022 · Least squares vector machine has a strong ability to classify, so the use of least squares vector machine to achieve coal gangue identifiion, and build coal gangue identifiion model.
WhatsApp: +86 18037808511WEBJan 1, 2021 · The thickness of 440 mm coal was manually shoveled on the coal wall. The upper part of the coal wall was sandstone and the lower part of the coal wall was brown coal seam. The coupling water column height was 115 mm. The ultrasonic coalrock interface identifiion system was used to test the sound velocity at the test point shown .
WhatsApp: +86 18037808511WEBSep 10, 2023 · The recognition accuracy of cutting coal rock specimens with different wear degrees was studied, and the fusion recognition accuracy of coal rock interface was improved.
WhatsApp: +86 18037808511WEBNov 1, 2021 · For irregular coal and coal gangue blocks, the schematic diagram of the recognition system is shown in Fig. 1 (I).It is envisaged to acquire the combined image of coal or coal gangue blocks and electrode plates with an industrial camera, establish a coordinate system, and then process the combined image to calculate the effective .
WhatsApp: +86 18037808511WEBAug 15, 2023 · 1. Introduction. Coal shearer cutting teeth, which are composed of a tooth head and a tooth body, are often used in footing excavation, such as coal mining and roadway excavation [1].Cemented carbide is the most commonly used tooth head material, while 40Cr, 42CrMo, and 35CrMnSi are the most commonly used tooth body materials .
WhatsApp: +86 18037808511WEBMar 1, 2023 · The recognition of cutting state of coalrock is the key technology to realize "unmanned" mining in coal face. In order to realized realtime perception and accurate judgment of coalrock cutting state information, this paper combined the field test sampling, construction technology of complex coal seam, virtual prototype technology, .
WhatsApp: +86 18037808511WEBFeb 1, 2008 · Abstract. Specific energy is simply defined as the work done per unit volume of rock excavated. Specific energy is an important performance parameter as it relates cutting force to the amount of rock excavated. In this paper the development of a new rippability classifiion system for coal measure rock based on specific energy is .
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