Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Keheng Zhu"'
Autor:
Jin Liu, Keheng Zhu, Shiyan Xu, Wenjiao Tu, Xiaotan Lin, Youpeng Su, Rong Huang, Yuao Deng, Yu Liu
Publikováno v:
Reproductive Biology and Endocrinology, Vol 21, Iss 1, Pp 1-12 (2023)
Abstract Background The exact role of sperm reactive oxygen species (ROS) in early embryo development has yet to be fully identified, and most of existing research did not differentiate female infertility factors, ignoring the importance of oocyte qu
Externí odkaz:
https://doaj.org/article/cbf69bea9bc74719952db98024a74584
Publikováno v:
Entropy, Vol 20, Iss 12, p 926 (2018)
A new fault feature extraction method for rolling element bearing is put forward in this paper based on the adaptive local iterative filtering (ALIF) algorithm and the modified fuzzy entropy. Due to the bearing vibration signals’ non-stationary and
Externí odkaz:
https://doaj.org/article/52fe3d4f870c4de5977a84b6325c332a
Publikováno v:
The International Journal of Acoustics and Vibration. 27:37-44
To achieve good performance of fault feature extraction for a rolling bearing, a new feature extraction method is presented in this paper based on local maximum synchrosqueezing transform (LMSST) and global fuzzy entropy (GFuzzyEn). First, targeting
Autor:
Jin Liu, Keheng Zhu, Shiyan Xu, Wenjiao Tu, Xiaotan Lin, Youpeng Su, Rong Huang, Yuao Deng, Yu Liu
Publikováno v:
Reproductive biology and endocrinology : RBE. 21(1)
Background The exact role of sperm reactive oxygen species (ROS) in early embryo development has yet to be fully identified, and most of existing research did not differentiate female infertility factors, ignoring the importance of oocyte quality in
Publikováno v:
Transactions of the Institute of Measurement and Control. 41:4013-4022
Multi-scale fuzzy entropy (MFE) is a recently developed non-linear dynamic parameter for measuring the complexity of vibration signals of rolling element bearing over different scales. However, the calculation of fuzzy entropy (FuzzyEn) in each scale
Publikováno v:
Measurement Science Review, Vol 17, Iss 5, Pp 219-225 (2017)
Rolling element bearings are an important unit in the rotating machines, and their performance degradation assessment is the basis of condition-based maintenance. Targeting the non-linear dynamic characteristics of faulty signals of rolling element b
Autor:
Keheng Zhu
Publikováno v:
Journal of Vibration and Control. 24:3194-3205
Performance degradation assessment is crucial to realize equipment’s near-zero downtime and maximum productivity. In this paper, a new method for performance degradation assessment of rolling element bearings is proposed based on hierarchical entro
Autor:
Xigeng Song, Keheng Zhu
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 232:173-185
Exploring effective indicators is significant for the assessment of the bearing performance degradation, which is crucial to realize the condition-based maintenance. In this paper, the cross-fuzzy entropy is introduced and is used to measure the simi
Publikováno v:
Journal of Nondestructive Evaluation. 38
Fuzzy measure entropy (FuzzyMEn) is a recently improved non-linear dynamic parameter for evaluating the signals’ complexity. In comparison with fuzzy entropy (FuzzyEn), which only emphasizes the local characteristics of the signal but neglects its
Publikováno v:
Entropy, Vol 20, Iss 12, p 926 (2018)
Entropy
Volume 20
Issue 12
Entropy
Volume 20
Issue 12
A new fault feature extraction method for rolling element bearing is put forward in this paper based on the adaptive local iterative filtering (ALIF) algorithm and the modified fuzzy entropy. Due to the bearing vibration signals&rsquo
non-statio
non-statio