Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Xiren Miao"'
Publikováno v:
IEEE Access, Vol 11, Pp 40399-40411 (2023)
Differential protection has been introduced into the distribution network to address the ineffectiveness of traditional protection due to the uncertainties of power flow caused by the access of multiple inverter-interfaced distributed generation (IID
Externí odkaz:
https://doaj.org/article/9267cfd6883647f0a38ed893537121d4
Publikováno v:
IET Electric Power Applications, Vol 16, Iss 5, Pp 548-564 (2022)
Abstract Precise forecasting of the thermal parameters is a critical factor for the safe operation and fault incipient warning of the ultra‐high voltage (UHV) transformers. In this work, a novel multi‐step forecasting method based on the long‐
Externí odkaz:
https://doaj.org/article/c71a57c48efe4f93b75bca5ee110b7aa
Publikováno v:
IET Image Processing, Vol 16, Iss 2, Pp 356-364 (2022)
Abstract Digital imaging and image‐processing techniques have revolutionized the way of power line inspection in recent years. Massive images are captured and utilized for further processing to maintain the reliability, safety, and sustainability o
Externí odkaz:
https://doaj.org/article/99274a305250493e91e211b6f68feec7
Publikováno v:
IEEE Access, Vol 7, Pp 61797-61810 (2019)
Insulator fault in the transmission lines is the main factor of power transmission accident. The images captured from the aerial inspection can be utilized to detect the fault of insulators for further maintenance. For automatic transmission lines in
Externí odkaz:
https://doaj.org/article/b45c2ceaad5447f7b0cb1c747cb5359a
Publikováno v:
IEEE Access, Vol 7, Pp 9945-9956 (2019)
The detection of insulators with cluttered backgrounds in aerial images is a challenging task for an automatic transmission line inspection system. In this paper, we propose an effective and reliable insulator detection method based on a deep learnin
Externí odkaz:
https://doaj.org/article/ba79640d1609491fb019f08773c1b409
Publikováno v:
Sensors, Vol 22, Iss 19, p 7360 (2022)
Realizing autonomous unmanned aerial vehicle (UAV) inspection is of great significance for power line maintenance. This paper introduces a scheme of using the structure of a tower to realize visual geographical positioning of UAV for tower inspection
Externí odkaz:
https://doaj.org/article/e0b4e8a56cba4b40ad1e9bded5e5296e
Publikováno v:
Sensors, Vol 21, Iss 10, p 3551 (2021)
Sensor-based human activity recognition (HAR) has attracted enormous interests due to its wide applications in the Internet of Things (IoT), smart homes and healthcare. In this paper, a low-resolution infrared array sensor-based HAR approach is propo
Externí odkaz:
https://doaj.org/article/6b4f8a03f0af4a2481bac2e843648592
Publikováno v:
Sensors, Vol 21, Iss 7, p 2359 (2021)
Human activity recognition (HAR) has been a vital human–computer interaction service in smart homes. It is still a challenging task due to the diversity and similarity of human actions. In this paper, a novel hierarchical deep learning-based method
Externí odkaz:
https://doaj.org/article/e6e59e2d463b4b99b0549ba3781dad2b
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::175927d0fa6dc2de374b8402af3ec6af
https://doi.org/10.1109/tii.2023.3268479
https://doi.org/10.1109/tii.2023.3268479
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdbf94f7b40df26837cce269acd24926
https://doi.org/10.1109/tim.2023.3238696
https://doi.org/10.1109/tim.2023.3238696