Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Mingtao Ge"'
Publikováno v:
Shock and Vibration, Vol 2018 (2018)
A rolling bearing fault diagnosis method based on ensemble local characteristic-scale decomposition (ELCD) and extreme learning machine (ELM) is proposed. Vibration signals were decomposed using ELCD, and numerous intrinsic scale components (ISCs) we
Externí odkaz:
https://doaj.org/article/6f827c6d610c4feba539954b2484a074
Publikováno v:
2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE).
Publikováno v:
Applied Sciences, Vol 9, Iss 10, p 2126 (2019)
Aimed at the problems of high redundancy of trajectory and susceptibility to background interference in traditional dense trajectory behavior recognition methods, a human action recognition method based on foreground trajectory and motion difference
Externí odkaz:
https://doaj.org/article/c99166a915c6416fb46f7656260c0c0c
Autor:
Mingtao Ge1 stevenge@gs.zzu.edu.cn, Jie Wang1 wj@zzu.edu.cn, Xiangyang Ren1 xyren@gs.zzu.edu.cn
Publikováno v:
Entropy. Dec2017, Vol. 19 Issue 12, p633. 13p.
Publikováno v:
Symmetry, Vol 10, Iss 12, p 730 (2018)
Because of the cyclic symmetric structure of rolling bearings, its vibration signals are regular when the rolling bearing is working in a normal state. But when the rolling bearing fails, whether the outer race fault or the inner race fault, the symm
Externí odkaz:
https://doaj.org/article/fc6f407491aa45c68983ed5f767cf257
Publikováno v:
Entropy, Vol 20, Iss 6, p 455 (2018)
According to the dynamic characteristics of the rolling bearing vibration signal and the distribution characteristics of its noise, a fault identification method based on the adaptive filtering empirical wavelet transform (AFEWT) and kernel density e
Externí odkaz:
https://doaj.org/article/e31cdfb71e3b48659733676065b3c5bd
Publikováno v:
Infrared Physics & Technology. 101:13-24
The dim and small target detection in complex background is a challenging problem. Conventional methods may lead to high false alarm rates when targets are extremely dim and almost approximate to background noise. In this paper, a novel method named
Publikováno v:
Applied Sciences, Vol 9, Iss 10, p 2126 (2019)
Applied Sciences
Volume 9
Issue 10
Applied Sciences
Volume 9
Issue 10
Aimed at the problems of high redundancy of trajectory and susceptibility to background interference in traditional dense trajectory behavior recognition methods, a human action recognition method based on foreground trajectory and motion difference
Autor:
Hongzhi Liu, Mingtao Ge
Publikováno v:
Journal of Materials Chemistry A. 4:16714-16722
A novel hybrid nanoporous network was easily fabricated by the one-step Heck reaction of octavinylsilsesquioxane with dibromothiophene. FTIR, solid state CP-MAS-NMR (13C and 29Si), and elemental analysis indicate that a thiophene unit has been succes
Publikováno v:
Entropy, Vol 20, Iss 6, p 455 (2018)
Entropy
Volume 20
Issue 6
Entropy
Volume 20
Issue 6
According to the dynamic characteristics of the rolling bearing vibration signal and the distribution characteristics of its noise, a fault identification method based on the adaptive filtering empirical wavelet transform (AFEWT) and kernel density e