classification of coal cutting machine

Research on coal gangue classification recognition method ... Springer

Research on coal gangue classification recognition method ... Springer

For the traditional machine learning methods rely on manual experience and deep learning classification model depth and complex structure, resulting in poor gangue classification performance, this paper proposes a coal gangue recognition method (CNNSVM) based on the combination of convolutional neural network (CNN) and support vector machine (SVM). Firstly, we use a generative adversarial ...

Coal Classification Based on Reflection Spectroscopy and the IATTELM ...

Coal Classification Based on Reflection Spectroscopy and the IATTELM ...

Addressing these challenges, this work introduces an algorithm based on the reflectance spectrum of coal and machine learning. This method approach facilitates the rapid and accurate classification of coal types through the analysis of coal spectral data. First, the reflection spectra of three types of coal, namely, bituminous coal, anthracite ...

Classification of Coal Bursting Liability Based on Support Vector ...

Classification of Coal Bursting Liability Based on Support Vector ...

To accurately classify the CBL level, the supportvectormachine (SVM) method was introduced in this paper, and the dynamic failure time (DT), elastic energy index (WET), impact energy index (KE ...

Conventional and recent advances in gravity separation technologies for ...

Conventional and recent advances in gravity separation technologies for ...

The ratio between combustible organic matter and inorganic impurities of coal is also one of the variables in coal classification. Coal gangue is a significant residue of coal mining ... rotary coal breaker—a machine that combines size reduction, screening, and separation—has been developed and specifically designed for selective coal ...

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.

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 ...

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

Engineering Lanarkshire: Anderson Boyes Co CultureNL Museums

Engineering Lanarkshire: Anderson Boyes Co CultureNL Museums

Instructions for the Working of William Baird and Co's CoalCutting Machines, about 1870. The first chain coal cutting machine was invented in Coatbridge in 1871 by John Alexander of the iron and coalmasters William Baird and Company. This kind of coal cutter works much like a chainsaw, with sharp metal teeth attached to a moving chain.

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 ...

Estimating size fraction categories of coal particles ... ScienceDirect

Estimating size fraction categories of coal particles ... ScienceDirect

Highlights Online monitoring of particle size changes of coal material on process streams. Textonbased representation is used to characterize texture of coal particle images. Classification models of images with different coal particle sizes are developed. Texton features more discriminative than secondorder and other baseline features. Use of support vector machines significantly improved ...

A Review of Selected Solutions on the Evaluation of CoalRock Cutting ...

A Review of Selected Solutions on the Evaluation of CoalRock Cutting ...

The shearer is an important piece of equipment at the fully mechanized coal mining face ().The pick is the core component of the cutting unit as the key device of the shearer [1,2].During automatic and intelligent cutting at the coal mining face, the complex geological conditions, such as the fold structure, fault structure and magmatic intrusion, induce distinct occurrence conditions of coal ...

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.

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 ...

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 ...

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 ...

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 ...

Page couldn't load • Instagram

Page couldn't load • Instagram

7 likes, 0 comments sprintsai on November 23, 2023: "Are you passionate about Artificial Intelligence (AI) and Machine Learning (ML)? Do you want to ..." Sprints on Instagram: "Are you passionate about Artificial Intelligence (AI) and Machine Learning (ML)?

Classification of Milling Machine Common Types of CNC ... Junying

Classification of Milling Machine Common Types of CNC ... Junying

1. Column and knee type milling machines. Column and knee type mill is a common type of milling machine for general purpose. Column, spindle, cutter, table, knee, base are the basic parts of the vertical and horizontal type mills. On column and knee type milling machines, a vertical column is attached to the bed that contains all gear drives ...

Applications, classification of coal fired boilers and things to note ...

Applications, classification of coal fired boilers and things to note ...

Coalfired boilers are used in many industrial plants to provide and direct heat and steam sources to the machines that need to be used. Coal fired boilers are commonly used in industries such as textile, garment, food, soft drinks, alcohol, seafood, fish sauce, soy sauce, etc.

Deep learningbased image classification for online multicoal and ...

Deep learningbased image classification for online multicoal and ...

Abstract. Deep learning is an effective way to improve the classification accuracy of coal images for the machine visionbased coal sorting. However, the related research on deep learningbased ...

Machines and the Coal Miner's Work | OSU eHistory

Machines and the Coal Miner's Work | OSU eHistory

Coal mines operated without electricity. Electricity began to be adopted in mining and manufacturing in the late 1880s and the 1890s. (Electricity was first introduced into Ohio's bituminous coal mines in 1889.) The introduction of electricity in coal mines greatly facilitated the introduction of laborsaving machinery. 1891.

(PDF) Mining Methods: Part ISurface mining ResearchGate

(PDF) Mining Methods: Part ISurface mining ResearchGate

Thi s type of mining uses some of the largest machines on earth, including bucketwheel exc avator s which can move as much as 12,000 cubic meters of earth per hour .

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 ...

Classification of Coal Bursting Liability Based on Support Vector ...

Classification of Coal Bursting Liability Based on Support Vector ...

To accurately classify the CBL level, the supportvectormachine (SVM) method was introduced in this paper, and the dynamic failure time ( DT ), elastic energy index ( WET ), impact energy index ( KE) and uniaxial compressive strength ( RC) were selected as the classification indexes.

Analysis and construction of the coal and rock cutting state ... Nature

Analysis and construction of the coal and rock cutting state ... Nature

1 Citations Metrics Abstract The recognition of cutting state of coalrock is the key technology to realize "unmanned" mining in coal face.

A review of rock cutting for underground mining: past, present ... SciELO

A review of rock cutting for underground mining: past, present ... SciELO

The machine cut 150 m 2 in six months, at about three times the cost of conventional mining. This was viewed as an important first step in hard rock cutting, particularly as it enabled separate mining of a narrow reef band and waste, allowing for waste to be sorted and moved into the back area instead of incurring the costs of being transported ...

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 ...

Combines, Cutters, Loaders Among Recent Coal Mining Machines

Combines, Cutters, Loaders Among Recent Coal Mining Machines

Search Query for FOIA ERR: A A. +A A +

Applied Sciences | Free FullText | Coal Seam Thickness Prediction ...

Applied Sciences | Free FullText | Coal Seam Thickness Prediction ...

Coal seam thickness prediction is crucial in coal mine design and coal mining. In order to improve the prediction accuracy, an improved Kriging interpolation method on the basis of efficient data and Radial Basis Function (RBFKriging) is firstly proposed to interpolate the cutting data that is obtained in premining, especially at the edge of the geological surface of coal seam by taking into ...

دریافت اطلاعات بیشتر