Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bingxi Zhao"'
Publikováno v:
Applied Sciences, Vol 10, Iss 5, p 1802 (2020)
Bearings are key components in modern power machines. Effective diagnosis of bearing faults is crucial for normal operation. Recently, the deep convolutional neural network (DCNN) with 2D visualization technology has shown great potential in bearing
Externí odkaz:
https://doaj.org/article/1420b098b29843799069747f96ef0a52
Autor:
Qi Yuan, Bingxi Zhao
Publikováno v:
Journal of Manufacturing Systems. 61:450-460
The remaining useful life (RUL) prediction of a rolling element bearing is important for more reasonable maintenance of machinery and equipment. Generally, the information of a failure can hardly be acquired in advance while running and the degradati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c9721f8e1e9f9fa4055822aee394ec9
https://doi.org/10.1016/j.jmsy.2021.10.004
https://doi.org/10.1016/j.jmsy.2021.10.004
Publikováno v:
Journal of Mechanical Science and Technology. 34:83-95
Manufacturing errors of disks, namely, parallelism error and mass imbalance, cause complex bending and unbalance of rod-fastened rotor (RFR) after assembly, which act as original excitations and increase vibration. A method was introduced in this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91d79e13a21eb346ec5cd466069c8e8d
https://doi.org/10.1007/s12206-019-1207-z
https://doi.org/10.1007/s12206-019-1207-z
Publikováno v:
International Journal of Energy, Information and Communications. 8:15-28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa88b30093e5c3010eb7e51e89c30e75
https://doi.org/10.14257/ijeic.2017.8.1.02
https://doi.org/10.14257/ijeic.2017.8.1.02
Publikováno v:
Volume 7A: Structures and Dynamics.
Rod fastening rotor (RFR), as a typical rotor structure of gas turbine which is different from the integral rotor, is comprised of a set of discs clamped together by a central tie rod or several tie rods on the pitch circle diameters. In process of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa20e3d2986a9d6757f7d2ea3c673b27
https://doi.org/10.1115/gt2019-90256
https://doi.org/10.1115/gt2019-90256
Publikováno v:
Volume 7A: Structures and Dynamics.
Rod-fastened rotors are widely applied in heavy duty gas turbines and aircraft engines due to a good stiffness-to-weight behavior compared to conventional forged rotors. In order to achieve a continuous and stable power output, it is critical to guar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7e1971564204a44bb651272cc7cd7d1
https://doi.org/10.1115/gt2019-90573
https://doi.org/10.1115/gt2019-90573
Autor:
Qi Yuan, Bingxi Zhao
Publikováno v:
Measurement. 169:108522
Effective fault diagnosis is essential for maintaining the safe running of machine systems. Recently, the data-driven methods have shown great potential in intelligent fault diagnosis. However, the data collected in actual situations may be imbalance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f16146bac0df27921e7e0019ff7b4c88
https://doi.org/10.1016/j.measurement.2020.108522
https://doi.org/10.1016/j.measurement.2020.108522
Publikováno v:
Applied Sciences
Volume 10
Issue 5
Applied Sciences, Vol 10, Iss 5, p 1802 (2020)
Volume 10
Issue 5
Applied Sciences, Vol 10, Iss 5, p 1802 (2020)
Bearings are key components in modern power machines. Effective diagnosis of bearing faults is crucial for normal operation. Recently, the deep convolutional neural network (DCNN) with 2D visualization technology has shown great potential in bearing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::188b0dfa3ae4ea19be29365ccbfbe9e7
https://doi.org/10.3390/app10051802
https://doi.org/10.3390/app10051802