2021 6 28 This paper presents the Rail 5k dataset for benchmarking the performance of visual algorithms in a real world application scenario, namely the rail surface defects detection task. We collected over 5k high quality images from railways across China, and annotated 1100 images with the help from railway experts to identify the most common 13 types of rail defects. The
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2021 12 24 Surface defects are usually the early phenomenon of rail failure, which threatens the safety of railroad transportation critically, and the timely detection of surface defects helps to eliminate the potential risk of rail and reduce the chance of railroad safety accidents. The existing methods of detecting surface defects on rails suffer from a large performance degradation in
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2021 6 28 This paper presents the Rail 5k dataset for benchmarking the performance of visual algorithms in a real world application scenario, namely the rail surface defects detection task.
2021 9 9 Setup of the 16 Channel Eddy Current Inspection Equipment and Experiment Method. Figure 1 shows the multi channel eddy current inspection equipment, which is placed on top of the rail and scans the rail surface as the operator pushes the equipment forward. The equipment is composed of the eddy current system, 16 channel sensor jig, inspection and analysis program,
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2021 11 19 Considering defect variations and backgrounds, several methods 17–19 have been proposed to build a background model, and utilize the differences in scale to identify the defects. To detect rail surface defects, Yu et al proposed a background subtraction model, and combined information extracted at different scales to identify defects
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2021 2 19 Visual inspection techniques for rail surface defects have become prevalent approaches to obtain information on rail surface damage. However, uneven illumination leads to illegibility of local information, and the change of the wheel rail area results in the changeful background of the rail surface, both of which pose challenges to the visual inspection. This
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2020 10 9 The dataset includes 1,800 grayscale images, six different types of typical surface defects each of which contains 300 samples. For defect detection tasks, the dataset provides annotations that indicate the category and location of the defect in each image. For each defect, the yellow box is the border indicating its location, and the green
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2021 2 19 This paper proposes a novel algorithm that detects rail surface defects via partitioned edge features PEF . PEF eliminates the effect of uneven illumination by effectively extracting
Author: Xuefeng Ni, Hongli Liu, Ziji Ma, Chao Wang, Jianwei Liuاحصل على السعر WhatsApp
2022 5 1 Cyclic rolling contact between the wheel tread and the rail head can induce various types of wheel/rail fatigue damage. Surface defects that are related to rolling contact fatigue RCF damage, such as squats, studs and headchecks, were commonly observed on wheels Fig. 1a and rails Fig. 1b in railway operations .The existence of rail surface defects
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Zhang et al. presented an automatic railway visual detection system for surface defects, the detection performance of which could reach 92% precision and 88.8% recall rate on average 3
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2021 2 19 Visual inspection techniques for rail surface defects have become prevalent approaches to obtain information on rail surface damage. However, uneven illumination leads to illegibility of local information, and the change of the wheel rail area results in the changeful background of the rail surface, both of which pose challenges to the visual inspection. This
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2021 11 19 Considering defect variations and backgrounds, several methods 17–19 have been proposed to build a background model, and utilize the differences in scale to identify the defects. To detect rail surface defects, Yu et al proposed a background subtraction model, and combined information extracted at different scales to identify defects
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2020 11 18 The novel rail surface defects detection models with different deep convolutional networks involving M2 Y3 and M3 Y3 are proposed in this paper. Two well known and lightweight networks MobileNetV2 and MobileNetV3 are used as the backbone networks for features extraction. The design of detection layers with multi scale feature maps are inspired
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2021 6 28 This paper presents the Rail 5k dataset for benchmarking the performance of visual algorithms in a real world application scenario, namely the rail surface defects detection task. We collected over 5k high quality images from railways across China, and annotated 1100 images with the help from railway experts to identify the most common 13 types of rail defects. The
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2021 12 24 Surface defects are usually the early phenomenon of rail failure, which threatens the safety of railroad transportation critically, and the timely detection of surface defects helps to eliminate the potential risk of rail and reduce the chance of railroad safety accidents. The existing methods of detecting surface defects on rails suffer from a large performance degradation in
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Firstly, a data set of rail surface defect images is established, and then the training set of random segmentation is used for effective training to a certain extent, and the corresponding
Author: Xiaobo Chen, Huimin Zhangاحصل على السعر WhatsApp
Rail surface defects detection is very important for improving railway safety. Therefore, we use Faster R CNN to conduct research on the rail surface defects detection. Firstly, a data set of rail surface defect images is established, and then the training set of random segmentation is used for effective training to a certain extent, and the corresponding verification set is verified. After
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Rail surface defects detection is very important for improving railway safety. Therefore, we use Faster R CNN to conduct research on the rail surface defects detection. Firstly, a data set of rail surface defect images is established, and then the training set of random segmentation is used for effective training to a certain extent, and the corresponding verification set is verified. After
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2020 11 18 The novel rail surface defects detection models with different deep convolutional networks involving M2 Y3 and M3 Y3 are proposed in this paper. Two well known and lightweight networks MobileNetV2 and MobileNetV3 are used as the backbone networks for features extraction. The design of detection layers with multi scale feature maps are inspired
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2022 5 1 Surface defects can induce serious rolling contact fatigue RCF damage at wheel/rail interfaces and even cause fracture failure of rail material. This study aims to explore the
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2022 5 1 Cyclic rolling contact between the wheel tread and the rail head can induce various types of wheel/rail fatigue damage. Surface defects that are related to rolling contact fatigue RCF damage, such as squats, studs and headchecks, were commonly observed on wheels Fig. 1a and rails Fig. 1b in railway operations .The existence of rail surface defects
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2021 3 5 Severe defects as large surface cracks or large squats. All the images in Group 1 have clear visual signs of containing surface defects, because their goal is to calibrate the method to what is a clear indication of rail defects. The defect can occur either on the left or right rail, but it is also possible for both rails to contain a defect.
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2021 3 5 Severe defects as large surface cracks or large squats. All the images in Group 1 have clear visual signs of containing surface defects, because their goal is to calibrate the method to what is a clear indication of rail defects. The defect can occur either on the left or right rail, but it is also possible for both rails to contain a defect.
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2020 10 9 The dataset includes 1,800 grayscale images, six different types of typical surface defects each of which contains 300 samples. For defect detection tasks, the dataset provides annotations that indicate the category and location of the defect in each image. For each defect, the yellow box is the border indicating its location, and the green
2021 9 9 Setup of the 16 Channel Eddy Current Inspection Equipment and Experiment Method. Figure 1 shows the multi channel eddy current inspection equipment, which is placed on top of the rail and scans the rail surface as the operator pushes the equipment forward. The equipment is composed of the eddy current system, 16 channel sensor jig, inspection and analysis program,
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الدولوميت هو نوع من كربونات المعدنية التي تشمل الحديد والدولوميت الدولوميت المنغنيز. يمكن معالجة الدولوميت المكلس لجعل الحجر الجيري الدولوميت والتي هي جيدة الأبيض، التصاق قوي، والسلطة، تجلط الدم، ومقاومة للحريق، والعزل الحراري. في هذه المراحل، وهناك حاجة إلى معدات كسارة الدولوميت. وبالتالي فإن الدولوميت هو مناسبة لالداخلية والخارجية طلاء الجدار.
السيليكا هو الأكثر وفرة المعادن الموجودة في قشرة الأرض . السيليكا يقدم واحدة من مخططات المنتجات المتوفرة الأكثر شمولا من أي موزع . مع الفرق المحلية من المهندسين و المتخصصين في تكنولوجيا التطبيق ، انها تسعى ل دعم التكنولوجيا عملائها و توفير التصميم في الخبرات للعملاء على المنافسة بنجاح .
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