Results 21 to 30 of about 1,067 (222)

Intelligent integrated monitoring system for lathe equipment

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2021
During the production process of the components of precision machines, a stable quality is the key consideration of the vendors. During the production process of metal parts, a thermal expansion error of the spindle will occur due to long time operations,
Bo-Lin Jian   +2 more
doaj   +1 more source

Fault detection for DFIG based on sliding mode observer of new reaching law [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2021
For fault detection of doubly-fed induction generator (DFIG), in this paper, a method of sliding mode observer (SMO) based on a new reaching law (NRL) is proposed.
RuiQi Li   +6 more
doaj   +1 more source

A Hybrid Chatter Detection Method Based on WPD, SSA, and SVM-PSO

open access: yesShock and Vibration, 2020
As a kind of self-excited vibrations, chatter vibration is extremely common in end milling, especially in high-speed cutting processes. It affects the machining accuracy of products and decreases the processing efficiency of machine tools.
Erhua Wang, Peng Yan, Jie Liu
doaj   +1 more source

Chatter identification in turning process based on vibration analysis using Hilbert-Huang transform

open access: yesJournal of Mechanical Engineering and Sciences, 2020
In machining process, the increasing cutting depth is aimed to accelerate machining operations in a short time. However, the increasing cutting depth can cause chatter vibration at any time.
Agus Susanto   +4 more
doaj   +1 more source

Deep Learning for Chatter Detection in Machining

open access: yes, 2022
Abstract Deep learning unlike classical machine learning methods, automatically extracts features at a higher level and merges feature extraction and classification into a single structure, so it does not require a large number of tests and errors. This work presents a deep learning approach for detecting the phenomenon of chatter in machining.
Cheick Abdoul Kadir A kounta   +3 more
openaire   +1 more source

The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection

open access: yesApplied Sciences, 2017
Grinding chatter reduces the long-term reliability of grinding machines. Detecting the negative effects of chatter requires improved chatter detection techniques.
Huanguo Chen   +6 more
doaj   +1 more source

Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests

open access: yesFrontiers in Big Data, 2023
IntroductionFrance has seen two key protests within the term of President Emmanuel Macron: one in 2020 against Islamophobia, and another in 2023 against the pension reform.
Lynnette Hui Xian Ng, Kathleen M. Carley
doaj   +1 more source

On-Line Energy-Based Milling Chatter Detection

open access: yesJournal of Manufacturing Science and Engineering, 2018
Milling exhibits forced vibrations at tooth passing frequency and its harmonics, as well as chatter vibrations close to one of the natural modes. In addition, there are sidebands, which are spread at the multiples of tooth passing frequency above and below the chatter frequency, and make the robust chatter detection difficult.
Caliskan, Hakan   +2 more
openaire   +2 more sources

Efficient Real-Time Tool Chatter Detection Through Bandpass Filtering

open access: yesMachines
Tool Chatter or Self-Excited Vibration is a common issue in machining processes. This phenomenon arises due to various factors, such as tool rigidity, depth of cut, spindle speed, etc., leading to poor surface finish, excessive tool wear, and premature ...
Javier Arenas   +3 more
doaj   +1 more source

An Evaluation Study of EMD, EEMD, and VMD For Chatter Detection in Milling

open access: yesProcedia Computer Science, 2022
In modem machining processes, chatter is an inherent phenomenon that hinders efficiency, productivity, and automation. Numerous methods have been proposed using analytical, computational, and artificial intelligence methods to detect and avoid chatter during milling.
Pelin Seyrek   +3 more
openaire   +3 more sources

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