Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Mao Ge"'
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 2418-2435 (2021)
A complementary ensemble adaptive local iterative filtering (CEALIF) and enhanced maximum correlation kurtosis deconvolution (EMCKD) approach is proposed for weak fault signals in wind turbine bearings, which are easily concealed by strong background
Externí odkaz:
https://doaj.org/article/5d0173a753d14b00a87c32fb3c993bfe
Publikováno v:
IEEE Access, Vol 9, Pp 47275-47293 (2021)
A fault diagnosis model for rolling bearing based on complementary ensemble adaptive local iterative filtering (CEALIF), Laplacian score (LS) feature selection, and genetic algorithm-based backpropagation neural network (GA-BPNN) is proposed in this
Externí odkaz:
https://doaj.org/article/cba542a66c9e4d3b9343baeda1abe984
Publikováno v:
IEEE Access, Vol 8, Pp 178425-178449 (2020)
Tensor decomposition technique has been widely used in multichannel signals processing for its distinct superiority. The early fault feature signal of bearing is weak and easily inundated by ambient noise. In addition, the interference signals genera
Externí odkaz:
https://doaj.org/article/060f9f8318b94daba90722f676affd16
Publikováno v:
Entropy, Vol 23, Iss 2, p 191 (2021)
The health condition of the rolling bearing seriously affects the operation of the whole mechanical system. When the rolling bearing parts fail, the time series collected in the field generally shows strong nonlinearity and non-stationarity. To obtai
Externí odkaz:
https://doaj.org/article/c19d50ace67a4126ba82eef2e77c101b
Autor:
Huang, Jinhai, Mao, Ge-Qi, Xue, Kan-Hao, Yang, Shengxin, Ye, Fan, Sun, Huajun, Miao, Xiangshui
Publikováno v:
Journal of Applied Physics 133, 184101 (2023)
$\mathrm{HfO_2}$-based dielectrics are promising for nanoscale ferroelectric applications, and the most favorable material within the family is Zr-substituted hafnia, i.e., $\mathrm{Hf_{1-x}Zr_xO_2}$ (HZO). The extent of Zr substitution can be great,
Externí odkaz:
http://arxiv.org/abs/2302.03852
Publikováno v:
Entropy, Vol 21, Iss 10, p 959 (2019)
The acquired bearing fault signal usually reveals nonlinear and non-stationary nature. Moreover, in the actual environment, some other interference components and strong background noise are unavoidable, which lead to the fault feature signal being w
Externí odkaz:
https://doaj.org/article/4e903fe523a042beb03c3c5995bf5d24
Publikováno v:
Sensors, Vol 19, Iss 17, p 3755 (2019)
Bearing fault diagnosis is of utmost importance in the maintenance of mechanical equipment. The collected fault vibration signal generally presents a modulated nature due to the special structure and dynamic characteristics of the bearings. This pape
Externí odkaz:
https://doaj.org/article/6b7a23cd132347a8af30e60edd54f32e
Publikováno v:
Entropy, Vol 20, Iss 3, p 161 (2018)
Gears are key components in rotation machinery and its fault vibration signals usually show strong nonlinear and non-stationary characteristics. It is not easy for classical time–frequency domain analysis methods to recognize different gear working
Externí odkaz:
https://doaj.org/article/b6a3ea18be5643b7b735dbc62451df46
Autor:
Bai, Na, Xue, Kan-Hao, Huang, Jinhai, Yuan, Jun-Hui, Wang, Wenlin, Mao, Ge-Qi, Zou, Lanqing, Yang, Shengxin, Lu, Hong, Sun, Huajun, Miao, Xiangshui
Publikováno v:
Advanced Electronic Materials 9, 2200737 (2023)
The wake-up phenomenon widely exists in hafnia-based ferroelectric capacitors, which causes device parameter variation over time. Crystallization at higher temperatures have been reported to be effective in eliminating wake-up, but high temperature m
Externí odkaz:
http://arxiv.org/abs/2206.14393
Publikováno v:
Applied Sciences, Vol 7, Iss 4, p 418 (2017)
To solve the problem of multi-fault blind source separation (BSS) in the case that the observed signals are under-determined, a novel approach for single channel blind source separation (SCBSS) based on the improved tensor-based singular spectrum ana
Externí odkaz:
https://doaj.org/article/40b7339db7174fcf9b2087239f1f1c89