Zobrazeno 1 - 10
of 108
pro vyhledávání: '"XianLing Li"'
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-4 (2024)
Abstract Non-iatrogenic trauma of the iliac artery is rarely reported but is always life-threatening. In this report, we describe the case of a child with complete transection and partial disappearance of the iliac artery caused by bicycle handlebar
Externí odkaz:
https://doaj.org/article/af08dace13144cb8993625b63751dddb
Publikováno v:
Energies, Vol 16, Iss 16, p 5961 (2023)
Fouling in heat exchanger tubes is a common problem in the operation of condensers. The deposition of fouling can affect the thermal efficiency and safety of the condenser. Therefore, it is necessary to predict the impact of fouling on time and carry
Externí odkaz:
https://doaj.org/article/240d16b6dde7403d878b4776d41a1e78
Autor:
Kai Wang, Dan Zhang, Xianling Li, Zengmeng Wang, Guangjun Hou, Xinjian Jia, Huizhong Niu, Shiqin Qi, Qingqiang Deng, Bin Jiang, Hongqiang Bian, Heying Yang, Yajun Chen
Publikováno v:
BMC Pediatrics, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Purpose To describe the incidence and management of gastrointestinal tract Buckyball magnets ingestions in a multicenter Chinese pediatric patient population, and discuss the preventive measures. Methods Medical records of 74 pediatric patie
Externí odkaz:
https://doaj.org/article/a3d9e612d7e14af592e432066d214164
Publikováno v:
Machines, Vol 10, Iss 6, p 435 (2022)
Reliability is of great significance in ensuring the safe operation of modern industry, which mainly relies on data analysis and life tests. However, as the life of mechanical systems becomes increasingly longer with the rapid development of the manu
Externí odkaz:
https://doaj.org/article/595d77e8f38e41d99dc0cdb974669495
Publikováno v:
Machines, Vol 10, Iss 5, p 369 (2022)
Recently, deep learning techniques have been successfully used for bearing remaining useful life (RUL) prediction. However, the degradation pattern of bearings can be much different from each other, which leads to the trained model usually not being
Externí odkaz:
https://doaj.org/article/ff48adeb8ef743f7afe6c458bcad3269
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 450 (2021)
Multi-classifiers are widely applied in many practical problems. But the features that can significantly discriminate a certain class from others are often deleted in the feature selection process of multi-classifiers, which seriously decreases the g
Externí odkaz:
https://doaj.org/article/8209c7f5f7ac42e5a9d14d3379f80919
Publikováno v:
Energies, Vol 13, Iss 22, p 6061 (2020)
Power grid operation faces severe challenges with the increasing integration of intermittent renewable energies. Hence the steam turbine, which mainly undertakes the task of frequency regulation and peak shaving, always operates under off-design cond
Externí odkaz:
https://doaj.org/article/b7a25ca30337465a89c648d213539593
Publikováno v:
IEEE Sensors Journal. 23:11946-11955
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::377dbef91573826115bdc940fdcfc23f
https://doi.org/10.1109/jsen.2023.3267427
https://doi.org/10.1109/jsen.2023.3267427
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:3894-3904
Recently, deep learning-based intelligent fault diagnosis methods have been developed rapidly, which rely on massive data to train the diagnosis model. However, it is usually difficult to collect sufficient failure data in practical industrial produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2744438f6633ae32c20d65109df7574d
https://doi.org/10.1109/tii.2021.3112504
https://doi.org/10.1109/tii.2021.3112504
Publikováno v:
IEEE Systems Journal. 15:2305-2313
The issues of actuator fault reconstruction, sensor fault reconstruction, and state estimation are considered in this article for Markovian jump systems, using a novel adaptive observer approach. First, by utilizing coordinate transformation technolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28341b4b2ca4d296ea71eecac8db3cdb
https://doi.org/10.1109/jsyst.2020.2978091
https://doi.org/10.1109/jsyst.2020.2978091