coal gangue recognition
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coal gangue recognition

Coal/Gangue Recognition Using Convolutional Neural ...

2020-4-24 · Recognition and separation of Coal/Gangue are important phases in the coal industries for many aspects. This paper addressed the topic of Coal/Gangue recognition and built a new model called (CGR-CNN) based on Convolutional Neural network (CNN) and using thermal images as standard images for Coal/Gangue recognition. The CGR-CNN model has been

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Coal gangue detection and recognition algorithm based

2021-12-7 · Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 De-yong Li1,3,4 Guo-fa Wang3,4 Yong Zhang1,2 Shuang Wang1,2 1 State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology,

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(PDF) Recognition Methods for Coal and Coal Gangue

2021-10-21 · Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present. Consequently, considerable manpower is needed, which adds a burden ...

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Coal gangue detection and recognition algorithm based

2021-9-8 · 4.1 Design and implementation of coal gangue detection and recognition device. This study proposes an method for coal gangue detection and recognition on the basis of the DCN-YOLOv3 algorithm. Firstly, the method collects real-time video images of a conveyor belt operation through an industrial camera erected perpendicular to the conveyor belt.

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Coal Gangue Recognition Based on SVM Algorithm -

2021-1-7 · Coal gangue recognition rate in the paper is above 82%, the highest is 92.5%. Coal gangue recognition based on SVM algorithm and the complex random free test as well as the acceleration data of the any position impact test is feasible.

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Recognition Methods for Coal and Coal Gangue Based on

2021-5-17 · Recognition Methods for Coal and Coal Gangue Based on Deep Learning Abstract: Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present. Consequently, considerable manpower is needed, which adds a burden to enterprises and results in low efficiency. As an important branch of ...

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(PDF) Coal/Gangue Recognition Using Convolutional

Recognition and separation of Coal/Gangue are important phases in the coal industries for many aspects. This paper addressed the topic of Coal/Gangue recognition and

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Controlling water temperature for efficient coal/gangue ...

2021-12-1 · Coal and gangue (black-gray solid wastes in coal) recognition is vital to avoid waste of resources and pollution of the environment during the coal production. Considering their color/temperature is very close to each other, the traditional visible image and infrared image analyzing method is hard to obtain satisfied recognition efficiency.

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Radiation characteristics of natural gamma-ray from coal ...

2018-1-9 · Recognition of coal and gangue (roof rock) is a key technology to realize fully mechanized top coal caving automated mining. This paper proposes to detect the instantaneous refuse content of drawn ...

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Separating coal and gangue using three-dimensional laser ...

2017-12-10 · A method for distinguishing gangue from coal was presented, and a photoelectric identification system was designed. • The statistical relationship between the volume of coal, gangue, and actual volume conforms to a normal distribution. • A mathematical model for the identification of coal and gangue is established. A recognition threshold ...

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Coal Gangue Recognition Based on SVM Algorithm -

2021-1-7 · Coal gangue recognition rate in the paper is above 82%, the highest is 92.5%. Coal gangue recognition based on SVM algorithm and the complex random free test as well as the acceleration data of the any position impact test is feasible.

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Image Recognition of Coal and Coal Gangue Using a ...

2019-5-8 · the recognition of coal and coal gangue is a key part of the screening step, which can also be regarded as the most crucial segment of automatic coal separation technology. Traditional coal/gangue separation technologies include manual separation, machine sorting,

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Recognition Methods for Coal and Coal Gangue Based on

2021-5-17 · Recognition Methods for Coal and Coal Gangue Based on Deep Learning Abstract: Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present. Consequently, considerable manpower is needed, which adds a burden to enterprises and results in low efficiency. As an important branch of ...

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Coal gangue recognition using multichannel auditory ...

2021-11-19 · Many data-driven coal gangue recognition (CGR) methods based on the vibration or sound of collapsed coal and gangue have been proposed to achieve automatic CGR, which is important for realizing intelligent top-coal caving. However, the strong background noise and complex environment in underground coal mines render this task challenging in ...

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[1712.00720] Automatic Recognition of Coal and Gangue ...

2017-12-3 · An object detection and region clipping algorithm is proposed to adjust the training image data to the optimum size. Compared with traditional neural network and SVM algorithm, this algorithm has higher recognition rate for coal and coal gangue, and provides important reference for identification and separation of coal and gangue.

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(PDF) Coal/Gangue Recognition Using Convolutional

Recognition and separation of Coal/Gangue are important phases in the coal industries for many aspects. This paper addressed the topic of Coal/Gangue recognition and

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Image Recognition of Coal and Coal Gangue Using a ...

2019-5-8 · Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and

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Coal gangue detection and recognition algorithm based

2021-9-8 · Focusing on various problems in coal gangue detecting and recognising algorithms, such as limited receptive field, slow convergence rate and low accuracy of small particle recognition, this paper proposes a coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 (DCN-YOLOv3).

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Detection of coal and gangue based on improved

2022-1-1 · All algorithms recognize each band of coal and coal gangue for 30 times, each recognition is randomly selected training set. The average recognition accuracy of coal gangue in different bands is shown in the Fig. 12 and Fig. 13. Download : Download high-res image (78KB) Download : Download full-size image; Fig. 12.

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Coal gangue interface rec专利_专利查询 - 天眼查

2019-3-11 · A coal gangue interface recognition test system for top coal caving, comprising a base (1), a coal gangue particle impact vibration test device, and a coal flow-simulated coal gangue caving impact test device, wherein the coal gang particle impact ...

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Coal Gangue Recognition Based on SVM Algorithm -

2021-1-7 · Coal gangue recognition rate in the paper is above 82%, the highest is 92.5%. Coal gangue recognition based on SVM algorithm and the complex random free test as well as the acceleration data of the any position impact test is feasible.

Read More
(PDF) Coal/Gangue Recognition Using Convolutional

Recognition and separation of Coal/Gangue are important phases in the coal industries for many aspects. This paper addressed the topic of Coal/Gangue recognition and

Read More
Coal gangue recognition using multichannel auditory ...

2021-11-19 · Many data-driven coal gangue recognition (CGR) methods based on the vibration or sound of collapsed coal and gangue have been proposed to achieve automatic CGR, which is important for realizing intelligent top-coal caving. However, the strong background noise and complex environment in underground coal mines render this task challenging in ...

Read More
Coal gangue detection and recognition algorithm based

2021-9-8 · Focusing on various problems in coal gangue detecting and recognising algorithms, such as limited receptive field, slow convergence rate and low accuracy of small particle recognition, this paper proposes a coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 (DCN-YOLOv3).

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Recognition Methods for Coal and Coal Gangue Based on ...

2021-6-1 · Recognition Methods for Coal and Coal Gangue Based on Deep Learning. IEEE Access ( IF 3.367 ) Pub Date : 2021-05-17 , DOI: 10.1109/access.2021.3081442. Qiang Liu, Jingao Li, Yusheng Li, Mingwang Gao. Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present.

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[1712.00720] Automatic Recognition of Coal and Gangue ...

2017-12-3 · An object detection and region clipping algorithm is proposed to adjust the training image data to the optimum size. Compared with traditional neural network and SVM algorithm, this algorithm has higher recognition rate for coal and coal gangue, and provides important reference for identification and separation of coal and gangue.

Read More
Image Recognition of Coal and Coal Gangue Using a ...

2019-5-8 · Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and

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Image Recognition of Coal and Coal Gangue Using a ...

DOI: 10.3390/EN12091735 Corpus ID: 164504211. Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning @article{Pu2019ImageRO, title={Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning}, author={Yuanyuan Pu and Derek B. Apel and Alicja Szmigiel and Jie

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煤矸智能分选的机器视觉识别方法与优化 - CHINACAJ

The coal and gangue recognition model based on model pruning can accurately capture the surface differences between coal and gangue due to their different hardness,and the reflec- tion generated by vitelline composition at the truncated surface of coal can be ...

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Coal gangue interface rec专利_专利查询 - 天眼查

2019-3-11 · A coal gangue interface recognition test system for top coal caving, comprising a base (1), a coal gangue particle impact vibration test device, and a coal flow-simulated coal gangue caving impact test device, wherein the coal gang particle impact ...

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