Zobrazeno 1 - 10
of 395
pro vyhledávání: '"foreign object detection"'
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 8, Pp 91-98 (2024)
The existing foreign object detection methods for belt conveyors have problems such as weak capability to extract object semantic information, poor detection precision, and only recognizing and detecting foreign objects. The methods cannot accurately
Externí odkaz:
https://doaj.org/article/f8eea3b7206f40d08785910e6f4e7bcc
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 6, Pp 61-69 (2024)
The existing deep learning based foreign object detection models for conveyor belts are relatively large and difficult to deploy on edge devices. There are errors and omissions in detecting foreign objects of different sizes and small objects. In ord
Externí odkaz:
https://doaj.org/article/82c3428a8b004e7e83b6a3f04da7c71e
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 7, Pp 199-208 (2024)
Conveyor belt is one of the most important transportation equipment in underground coal mines. Anchor rod, channel steel, large gangue, and other foreign objects that are mixed with the conveyor belt during conveying operations cause the belt to tear
Externí odkaz:
https://doaj.org/article/2c54095f786445d6b05d7a1e0759572c
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37072- (2024)
With the increasing scale of urban rail transit, foreign object intrusion has become a significant operational safety hazard in urban rail transit. Although the laser-based automatic foreign object detection system has advantages such as long-distanc
Externí odkaz:
https://doaj.org/article/c856494f43eb4a1ea2e2ac7d5e1480b4
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 8, Pp 99-104, 111 (2024)
The existing methods for detecting foreign objects in underground coal mine conveyor belts have poor adaptability to complex scenarios, cannot meet real-time and lightweight requirements, and perform poorly when dealing with foreign objects with larg
Externí odkaz:
https://doaj.org/article/f64a2dfb032344e58465c7942f2b6b0c
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2023, Vol. 42, Issue 5, pp. 1187-1198.
Publikováno v:
IEEE Access, Vol 12, Pp 121433-121440 (2024)
Effective and accurate detection of foreign objects in transmission lines plays a crucial role in achieving intelligent power inspection. However, in the real world, detecting objects that are too far or too small can lead to inaccurate object detect
Externí odkaz:
https://doaj.org/article/46aeeb46688c47e4a3c163240ee17ac9
Autor:
Shuang Gao
Publikováno v:
IEEE Access, Vol 12, Pp 85761-85772 (2024)
In railway safety monitoring, foreign object detection is a key task, especially in infrared and low illumination conditions. In order to improve the detection accuracy of railway foreign bodies, an optimized railway foreign bodies detection algorith
Externí odkaz:
https://doaj.org/article/a13ff73c52ca48f596ec7dbc4f6ace90
Autor:
Christian Herpers, Chris D. Rouse
Publikováno v:
IEEE Access, Vol 12, Pp 65078-65087 (2024)
This paper introduces a persymmetry evaluation of capacitance matrices for resonant capacitive power transfer. Persymmetry analysis of the capacitance matrix indicates imbalances and allows for distinction between misalignments and foreign objects. M
Externí odkaz:
https://doaj.org/article/e39de9e164b04af29af0e0049eeed1e6
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 1, Pp 57-65 (2024)
The RGB image of coal foreign objects lacks target space and edge information, the color and texture between the object to be detected and the background are similar, the contrast is low, and there are overlapping and occlusion phenomena among the ob
Externí odkaz:
https://doaj.org/article/b15315b6a06d446ea47e657e38c491cc