Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Zhongjun Yin"'
Autor:
Junwu Wu, Zhongjun Yin
Publikováno v:
MATEC Web of Conferences, Vol 153, p 05001 (2018)
Vortex shedding from a bluff body results in fluctuating forces acting on the bluff body, which may induce vibration of the bluff body when the bluff body is elastically mounted or deformable. Researchers put forward an idea that we can ex-tract ener
Externí odkaz:
https://doaj.org/article/29c302ce81974004a89a54adf32ee1d9
Publikováno v:
Transactions of the Canadian Society for Mechanical Engineering. 46:697-707
There have been many pieces of research on the vibration isolation theory of the single slotted disc spring. However, the theory of the series slotted disc spring and its bandwidth optimization is rarely mentioned. Therefore, by considering the effec
Publikováno v:
IEEE Sensors Journal. 22:14929-14936
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 235:186-196
For a dual-motor-driven elliptical vibrating screen, the driving frequencies of the two motors are studied in this paper and it exposes the significant influences of different driving frequencies on the vibration direction angle of the self-synchrono
Publikováno v:
Journal of Vibration and Control. :107754632211352
The particle damper has been widely used as an efficient passive vibration control device in recent years. The highly non-linear characteristic of the energy dissipation mechanism is essential for our increased understanding of non-obstructive partic
Publikováno v:
Vibration Engineering for a Sustainable Future ISBN: 9783030481520
An induction motor is an integrated electrical device that includes plenty of systems and consequently exhibits a diversity of faults. This chapter proposes a fault identification method based on convolutional neural network (CNN) to overcome the com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7250f1cd31312fc248d95daa82b6c94
https://doi.org/10.1007/978-3-030-48153-7_43
https://doi.org/10.1007/978-3-030-48153-7_43
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42
Convolutional neural networks (CNNs) have been applied to the field of fault diagnosis as one of the most widely used deep learning architectures. Different input modes of CNN for bearing fault identification were analyzed by researchers to improve r
Publikováno v:
Applied optics. 59(19)
Lane detection is crucial for driver assistance systems. However, road scenes are severely degraded in dense fog, which leads to the loss of robustness of many lane detection methods. For this problem, an end-to-end method combining polarimetric deha
Supplemental material, sj-pdf-1-pie-10.1177_0954408920952603 for A new study on dynamic adjustment of vibration direction angle for dual-motor-driven vibrating screen by Bing Chen, Jiwei Yan, Zhongjun Yin and Kumar K Tamma in Proceedings of the Insti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f649cd3393afaf55e0f25bc32e6f2e6d
Supplemental material, sj-pdf-2-pie-10.1177_0954408920952603 for A new study on dynamic adjustment of vibration direction angle for dual-motor-driven vibrating screen by Bing Chen, Jiwei Yan, Zhongjun Yin and Kumar K Tamma in Proceedings of the Insti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8e699a60937fd46ee6471620898d2a3