Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Recent progress of chatter prediction, detection and suppression in milling
L Zhu, C Liu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Machining chatter has been studied by scholars over the past decades, since chatter has a
significant impact on surface quality and productivity. Researchers have carried out …
significant impact on surface quality and productivity. Researchers have carried out …
[HTML][HTML] A review of chatter vibration research in milling
YUE Caixu, GAO Haining, LIU **anli, SY Liang… - Chinese Journal of …, 2019 - Elsevier
Chatter is a self-excited vibration of parts in machining systems. It is widely present across a
range of cutting processes, and has an impact upon both efficiency and quality in production …
range of cutting processes, and has an impact upon both efficiency and quality in production …
Chatter detection methods in the machining processes: A review
Chatter is a self-excited vibration phenomenon occurring in the cutting process, and the
onset of chatter will result in the worse machined surface and the redistribution of frequency …
onset of chatter will result in the worse machined surface and the redistribution of frequency …
Chatter detection in milling processes—a review on signal processing and condition classification
Among the diverse challenges in machining processes, chatter has a significant detrimental
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …
Fault diagnosis of train plug door based on a hybrid criterion for IMFs selection and fractional wavelet package energy entropy
Y Cao, Y Sun, G **e, T Wen - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
The train plug door is the only way for passengers getting on and off. Its failures will make
train operation ineffective. Taking the developed digital signal processing technologies into …
train operation ineffective. Taking the developed digital signal processing technologies into …
Chatter detection in milling process based on VMD and energy entropy
C Liu, L Zhu, C Ni - Mechanical Systems and Signal Processing, 2018 - Elsevier
This paper presents a novel approach to detect the milling chatter based on Variational
Mode Decomposition (VMD) and energy entropy. VMD has already been employed in …
Mode Decomposition (VMD) and energy entropy. VMD has already been employed in …
The concept and progress of intelligent spindles: a review
Intelligent spindles are core components of the next-generation of intelligent/smart machine
tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent …
tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent …
A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines
Abstract Variational Mode Decomposition (VMD) has attracted much attention and been
used to analyze different kinds of signals, such as mechanical signals, medical data, and …
used to analyze different kinds of signals, such as mechanical signals, medical data, and …
Initial center frequency-guided VMD for fault diagnosis of rotating machines
Variational mode decomposition (VMD), an effective signal decomposing technique, has
attracted considerable attention in recent years. The successful applicability of the VMD …
attracted considerable attention in recent years. The successful applicability of the VMD …
A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests
Q Hu, XS Si, QH Zhang, AS Qin - Mechanical systems and signal …, 2020 - Elsevier
Fault diagnosis methods based on dimensionless indicators have long been studied for
rotating machinery. However, traditional dimensionless indicators frequently suffer a low …
rotating machinery. However, traditional dimensionless indicators frequently suffer a low …