classification of coal cutting machine

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University of Wollongong Research Online

University of Wollongong Research Online

Prediction of transient methane explosive mixtures present in a mine atmosphere in and around coal cutting environment or face area is complex and thus prevention of its possible contact with frictional/incendive heat energy sources is a means of management to prevent FI in mines. ... Blunt and worn out picks on coal cutting machine head ...

Coal and Gangue Separating Robot System Based on Computer Vision

Coal and Gangue Separating Robot System Based on Computer Vision

1. Introduction. In coal production, the raw coal mined directly from coal mines contains a lot of gangue, which contains a lot of heavy metals, and affects the calorific value of coal, causing serious pollution to the environment [].Therefore, it is essential to separate coal and gangue to make them play their respective roles [2,3].As an important part of the coal industry, coal gangue ...

Classification of coal and gangue under multiple ... ScienceDirect

Classification of coal and gangue under multiple ... ScienceDirect

Coal and gangue classification is a key problem in automating the task of gangue picking during the preparation of coal. Four coal properties, namely raw coal with a dry clean surface, a wet clean surface, a dry surface covered by slime, and a wet surface covered by slime, are frequently encountered in real situations.

Symmetry | Free FullText | A Coal Gangue Identification Method ... MDPI

Symmetry | Free FullText | A Coal Gangue Identification Method ... MDPI

Identification of coal and gangue is one of the important problems in the coal industry. To improve the accuracy of coal gangue identification in the coal mining process, a coal gangue identification method based on histogram of oriented gradient (HOG) combined with local binary pattern (LBP) features and improved support vector machine (SVM) was proposed. First, according to the actual ...

Coal and Gangue Recognition Method Based on Local Texture ... MDPI

Coal and Gangue Recognition Method Based on Local Texture ... MDPI

Coal gangue is a kind of industrial waste in the coal mine preparation process. Compared to conventional manual or machinebased separation technology, visionbased methods and robotic grasping are superior in cost and maintenance. However, the existing methods may have a poor recognition accuracy problem in diverse environments since coals and gangues' apparent features can be unreliable ...

Detecting coal content in gangue via machine vision and genetic ...

Detecting coal content in gangue via machine vision and genetic ...

Eshaq et al. [2] extracted appropriate texture features from infrared images to develop an accurate classification system using a support vector machine (SVM). Li et al. [3] proposed an LSSVM based on grayscale and texture as a machine learning model for coal classification. The results showed that the accuracy of gangue and coal ...

Lithology prediction from well log data using machine learning ...

Lithology prediction from well log data using machine learning ...

Talcher coalfield is the largest depository of powergrade coal in India which lies in the southeastern region of the Mahanadi Valley belt of the Gondwana Basin between longitudes 84°21′85°25′E and latitudes 20°50′21°15′ N (Singh, 2016).The coalfield has an areal extent of ~1860 km 2 with a potential coalseam area of ~1000 km outline of the coalfield is close to the north ...

Research and practice of intelligent coal mine technology ... Springer

Research and practice of intelligent coal mine technology ... Springer

The toplevel architecture of 5G+ intelligent coal mine systems combines intelligent applications such as autonomous intelligent mining, humanmachine collaborative rapid tunneling, unmanned auxiliary transportation, closedloop safety control, lean collaborative operation, and intelligent ecology.

Estimating size fraction categories of coal particles on ... ResearchGate

Estimating size fraction categories of coal particles on ... ResearchGate

It offers a considerable number of machine learning models such as support vector machines for classification and regression, hidden Markov models, multiple kernel learning, linear discriminant ...

a Cutting action of continuous miner machine; b gradual wear of conical ...

a Cutting action of continuous miner machine; b gradual wear of conical ...

Download scientific diagram | a Cutting action of continuous miner machine; b gradual wear of conical picks; c 14 CM series continuous miner machine (courtesy: joyglobal) from publication ...

(PDF) A fuzzy method for selecting underground coal mining method ...

(PDF) A fuzzy method for selecting underground coal mining method ...

A fuzzy method for selecting underground coal mining method considering mechanization criteria. Kemal Özfırat. 2012, Journal of Mining Science.

Coal and Rock Classification with Rib Images and Machine Learning ...

Coal and Rock Classification with Rib Images and Machine Learning ...

The classification of rock and coal on ribs has been applied for shearer horizon control at longwall mining face. It provides the information for the shearer to adjust the cutting drums. An automated shearer will cut the coal and stay inseam without the need for human intervention . Besides knowing the shearer's location, direction, and ...

Research on the Mechanism and Control Technology of Coal Wall Sloughing ...

Research on the Mechanism and Control Technology of Coal Wall Sloughing ...

The first working face in the southwest wing of the first panel area of the Jinjitan Coal Mine is 122up108. The coal seam's thickness ranges from to m, with an average of m. The coal seam's burial depth ranges from 200 to 305 m, and its average mining depth is 246 m.

A short review on hydraulic classification and its development in ...

A short review on hydraulic classification and its development in ...

This has enabled specific gravity cut points as low as, while maintaining good separation efficiency. Consequently these units have gained the acceptance for recovery of coal from waste piles and tailing ponds as well as to treat run of mine coal, mineral sand separation/classification. The schematic. Floatex density separator

(PDF) An Online Flexible Sorting Model for Coal and ... ResearchGate

(PDF) An Online Flexible Sorting Model for Coal and ... ResearchGate

To solve the problem of difficult to sort coal and gangue quickly and accurately caused by the fast running speed of belt, the different shapes and sizes of gangue and so on, an online flexible ...

An Investigation into Statistical Correlations Between Coal ... Springer

An Investigation into Statistical Correlations Between Coal ... Springer

Surface miner, a coal cutting machine, has broad application in Indian opencast coal mines. The relationship between the coal production and the input provided for the same defines the productivity of the surface miner. ... Dey K, Ghose AK (2011) Review of cuttability indices and a new rockmass classification approach for selection of surface ...

Review of Cuttability Indices and A New Rockmass Classification ...

Review of Cuttability Indices and A New Rockmass Classification ...

A. K. Ghose Rock Mechanics and Rock Engineering 44, 601611 ( 2011) Cite this article 954 Accesses 8 Citations Metrics Abstract

PDF Lesson Plan Tracking Jharkhand Rai University

PDF Lesson Plan Tracking Jharkhand Rai University

14 UNITII Different types of cut 15 UNITII Different parts of CCM 16 UNITII Cutting gear arrangements of chain 17 UNITII Introduction of continuous miner 18 UNITII Different types of mechanical Loaders 19 UNITII Drills for coal and stone 20 UNITII various types 21 UNITII jumbo drill 22 UNITIII Electric Power Supply: Types of cables used in mines 23 UNITIII Permanent cable, Different ...

Coal Cutting Machine | PDF | Electric Motor | Mechanical ... Scribd

Coal Cutting Machine | PDF | Electric Motor | Mechanical ... Scribd

Coal cutting machines are used for providing an undercut, or overcut or shear cut in a. coal seam. A coal cutting machine were used to make a groove (also called cut) 1m to 2,5 m in. depth and 125 mm to 175 mm in height at a coal face. The cut was made across the. whole width of a gallery in the case of bord and pillar headways and across the ...

Symmetry | Free FullText | Cutting Pattern Identification for Coal ...

Symmetry | Free FullText | Cutting Pattern Identification for Coal ...

In order to improve the utilization of coal resources, the shearer drum is controlled to move close to the interface of the coal seam and rock as much as possible [].Since the 1960s, cutting pattern recognition, defined as whether the shearer drum is cutting coal bed, rock bed, or the coal bed mixed with gangue, has been widely researched in many coal producing countries.

Multiattribute failure analysis of coal cutting picks on longwall ...

Multiattribute failure analysis of coal cutting picks on longwall ...

A new classification of failure mechanism of mining tools was suggested. 33 cutting picks pf a drum shearer machine in a longwall mine was studied. 3D geometrical, macroscopic and microscopic analysis were carried out. Design and operational guidelines were recommended to reduce the tool wear.

Coal Identification Based on Reflection Spectroscopy and Deep Learning ...

Coal Identification Based on Reflection Spectroscopy and Deep Learning ...

The support vector machine (SVM) classification method, which was optimized by using a genetic algorithm (GA), was used to classify the coal samples into 3 categories. And then, the partial least squares regression (PLSR) was employed to establish different models for each type of coal. ... Coal classification is an indispensable task in coal ...

Longwall top coal caving design for thick coal seam in very poor ...

Longwall top coal caving design for thick coal seam in very poor ...

Fully mechanized LTCC mining method is a good recovery for ultrathick coal seams especially seams above 7 m. Developing technologies increases the recovery rate for LTCC more than working in slice panels (Wang et al. 2015).Different drawing alternatives effect the recovery rate of the top coal as also outlined by Wang et al. (), and it proposed that one cutting and one drawing working ...

Classification of clustered microseismic events in a coal mine using ...

Classification of clustered microseismic events in a coal mine using ...

The reason why machine learning can handle these variations and classify them as one group is because of their generalisation capability (Kawaguchi et al., 2017). Machine learning aims to abstract the training samples in a statistical manner to incorporate the dynamic changes of these statistical features.

A study on pick cutting properties with fullscale rotary cutting ...

A study on pick cutting properties with fullscale rotary cutting ...

This machine, is currently one of the most advanced singlepick rotary cutting machines, at the National Engineering Laboratory of Coal Mining Machinery and Equipment in China. As shown in Fig 3, the rotary cutting machine includs the test platform, control system, test system, and data analysis software,. The cutting machine can continuously ...

(PDF) Some experiments insitu and in laboratory to determine the ...

(PDF) Some experiments insitu and in laboratory to determine the ...

worked by a coalcutting machine. Sekula et al. (1991) and Krupa et al. (1993a,b, 1994) ... In this paper the development of a new rippability classification system for coal measure rock based on ...

Coal Dust Silica, Some Silicates, Coal Dust and paraAramid Fibrils ...

Coal Dust Silica, Some Silicates, Coal Dust and paraAramid Fibrils ...

Coal types and classification. Coal exists in various forms, ranging from lignite and brown coals (soft coals) to bituminous coals and anthracite (hard coals). ... a technical advance on it was the continuous miner, which is a machine with a rotating cutter on a boom. In the conventional and continuous miner methods of mining, the roof is ...

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