Zobrazeno 1 - 10
of 1 997
pro vyhledávání: '"leakage detection"'
Autor:
Yang, Qiang, Xia, Tianfei, Zhang, Lijia, Zhou, Ziye, Guo, Dequan, Gu, Ao, Zeng, Xucai, Wang, Ping
Publikováno v:
Sensor Review, 2024, Vol. 44, Issue 4, pp. 429-450.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-12-2023-0629
Publikováno v:
PeerJ Computer Science, Vol 10, p e2317 (2024)
Especially if artificial intelligence (AI)-supported decisions affect the society, the fairness of such AI-based methodologies constitutes an important area of research. In this contribution, we investigate the applications of AI to the socioeconomic
Externí odkaz:
https://doaj.org/article/494edb2943cd4ee39538771ded89b5a8
Publikováno v:
Alexandria Engineering Journal, Vol 92, Iss , Pp 82-91 (2024)
To detect the oil leakage problem of the power transformer in time and guarantee the normal operation of the power system, this paper proposes a lightweight-attention YOLOv8s, called LA_YOLOv8s, for oil leakage detection in the power transformer. Fir
Externí odkaz:
https://doaj.org/article/394211ac20c54850a654ebeed47ba8e5
Publikováno v:
IEEE Access, Vol 12, Pp 147841-147850 (2024)
This paper introduces a hybrid approach designed for both detecting and estimating the magnitude of leaks in oil pipelines. The method integrates a High Order Sliding Mode Observer(HOSMO) with a Super Twisting Algorithm to serve as an observer for st
Externí odkaz:
https://doaj.org/article/ea09bc45592348498d3af2250534a74f
Publikováno v:
You-qi chuyun, Vol 43, Iss 1, Pp 49-56 (2024)
[Objective] With the implementation of the “dual carbon” strategic goals, China is experiencing a rapid increase in natural gas demand. However, the occurrence of leakage accidents in pipelines carrying this flammable and explosive gas poses pote
Externí odkaz:
https://doaj.org/article/ac6c713635af46598469fc1fa60dac72
Autor:
Yannan HAN
Publikováno v:
Meikuang Anquan, Vol 55, Iss 1, Pp 225-232 (2024)
Aiming at the problems of missing identification of passengers caused by excessive moving speed of underground vehicles and shielding of vehicle casings, the inability to effectively control the overload of vehicles, the existence of potential safety
Externí odkaz:
https://doaj.org/article/ff5c0c10bdfe4a6095dc113853f5ca1f
A Magnetic Field Concentration Method for Magnetic Flux Leakage Detection of Rail-Top Surface Cracks
Autor:
Wendong Gong, Muhammad Firdaus Akbar, Ghassan Nihad Jawad, Nawaf H. M. M. Shrifan, Fengqin Zhang
Publikováno v:
IEEE Access, Vol 12, Pp 43245-43254 (2024)
Magnetic Field Leakage (MFL) is one of the prominent methods used to detect rail top surface cracks. However, it has been shown that detecting narrow rail top cracks is a major challenge because of their weak magnetic leakage fields. This paper propo
Externí odkaz:
https://doaj.org/article/07e27d76e99f4c43a68d6ae1b0119812
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5680-5690 (2024)
Tunnel water leakage detection is the difficulty and bottleneck in shield tunnel operation monitoring. This article introduces the RDES method for detecting water leakage in shield tunnels. First, to enhance the model's information extraction capabil
Externí odkaz:
https://doaj.org/article/c5873108b3d845bdb8770f559b8e586d
Publikováno v:
Alexandria Engineering Journal, Vol 85, Iss , Pp 218-235 (2023)
In this paper, a pipeline leakage detection algorithm based on information fusion of pressure and flow is proposed, and its core work is the construction of BPA based on discount factors. The wavelet packet decomposition is carried out for the origin
Externí odkaz:
https://doaj.org/article/6f596dab3d614cdba401752fd960ad5c
Publikováno v:
Sensors, Vol 24, Iss 19, p 6294 (2024)
The efficient detection of leakages in water distribution networks (WDNs) is crucial to ensuring municipal water supply safety and improving urban operations. Traditionally, machine learning methods such as Convolutional Neural Networks (CNNs) and Au
Externí odkaz:
https://doaj.org/article/63ec9da4b152413f849801f62539582f