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Partial and overall similarity for Retrieval
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Though Deep Learning CNN is mostly used in UAV power line-inspection system for the application of intelligent image recognition technology, can design image features easily and has strong adaptability to complex environments, but three problems deafly influence the actual results of application system such as insufficient image samples library, sc...
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Landslides are one of the most dangerous and disastrous geological hazard worldwide, posing threats to human life, infrastructures and to the natural environment. Consequently, monitoring active landslides is crucial in order to reduce the risk of damages and casualties. With this aim, this work proposes a way to compute landslide displacements thr...
Citations
... W.Y. Yi et al. [11] investigate the utilization of drones and protective shells for urban air quality monitoring. Lastly, Gómez, C., & Green, D. R. [12] explore the application of drones and protective enclosures for oil and gas pipeline inspection, while J. Li et al. [13] study power line inspection and maintenance using UAVs. ...
... Li, J., Wu, H., Hu, C., & Yu, C. (2021) [13] Power line inspection and maintenance with a system of UAVs. ...
This paper presents a novel protective shell system designed to safeguard both the drone and its accompanying sensors. The objective of this project is to develop and test the shell-shaped container to check its capability of securely housing the drone. The system may incorporate a circuit board housing a processor that receives data from sensors and controls the opening and closing motions of the container. By analyzing the sensor information, the system may intelligently respond to adverse weather conditions by automatically closing the container to ensure the drone’s protection. This innovative solution addresses the challenges associated with deploying drones in outdoor environments and offers enhanced safety and durability for extended drone operations.
... With the rapid development of power system in China, transmission line inspection is facing the problems such as long operation cycle and poor line environment, and the traditional manual inspection is confronting enormous challenges [1] . With the advantages of low cost and easy operation,the Unmanned Aerial Vehicle(UAV) fully autonomous inspection is playing an increasingly important role in the line inspection work of power companies [2] . In order to meet the needs of high-frequency wild inspection, UAVs are required to land at the wild distributed airports accurately and reliably. ...
... Assuming that the coordinate of A is ) 0 , 0 , 0 ( , and the distance between A and the tag is 1 (2) The height measured by radar is h，there is : ...
... As an example of application in the security area, automatically detecting power line assets via UAVs eliminates much of the safety risks of manual inspection, as inspectors would not need to climb towers as often as before. Instead, much of the inspection could occur through a direct analysis of the detected components, which a human inspector could perform in a secure environment or by a fault classification method [8]. In addition to the security gains, there are also financial and time gains, as the frequency of moving teams and providing the necessary equipment would decrease. ...
The research of electromechanical system fault technology based on EMD algorithm is a new research field in engineering field. In this study, we try to find out how to use EMD algorithm to design electromechanical system and how to analyze the fault condition of the electromechanical system. The main purpose of this research is to develop a design and analysis method of electromechanical system fault condition by using EMD algorithm.KeywordsEMD algorithmElectromechanical systemFault detection
