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Feature extraction of milling chatter based on optimized variational mode decomposition and multi-scale permutation entropy

https://doi.org/10.1007/s00170-021-07027-0
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00170-009-2075-yopenalex-snapshot
Permutation entropy based real-time chatter detection using audio signal in turning process
inferredcites →https://doi.org/10.1007/s00170-015-7523-2openalex-snapshot
A non-contact method for part-based process performance monitoring in end milling operations
inferredcites →https://doi.org/10.1007/s00170-017-0183-7openalex-snapshot
EEMD-based online milling chatter detection by fractal dimension and power spectral entropy
inferredcites →https://doi.org/10.1007/s00170-017-0252-yopenalex-snapshot
A hybrid health condition monitoring method in milling operations
inferredcites →https://doi.org/10.1007/s00170-017-1544-yopenalex-snapshot
A novel approach for chatter online monitoring using coefficient of variation in machining process
inferredcites →https://doi.org/10.1007/s00170-018-1780-9openalex-snapshot
Investigation of the milling stability based on modified variable cutting force coefficients
inferredcites →https://doi.org/10.1007/s00170-019-04478-4openalex-snapshot
Online chatter detection in milling process based on VMD and multiscale entropy
inferredcites →https://doi.org/10.1007/s00170-019-04807-7openalex-snapshot
Milling chatter detection using scalogram and deep convolutional neural network
inferredcites →https://doi.org/10.1007/s00170-020-05789-7openalex-snapshot
Identification of milling chatter based on a novel frequency-domain search algorithm
inferredcites →https://doi.org/10.1007/s00500-018-3256-0openalex-snapshot
Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks
inferredcites →https://doi.org/10.1007/s10845-020-01651-5openalex-snapshot
Chatter detection for milling using novel p-leader multifractal features
inferredcites →https://doi.org/10.1007/s40436-017-0179-4openalex-snapshot
On the wavelet analysis of cutting forces for chatter identification in milling
inferredcites →https://doi.org/10.1016/j.ijmachtools.2007.09.008openalex-snapshot
Complexity measure of motor current signals for tool flute breakage detection in end milling
inferredcites →https://doi.org/10.1016/j.ijmachtools.2011.01.001openalex-snapshot
Chatter in machining processes: A review
inferredcites →https://doi.org/10.1016/j.ijmachtools.2016.06.002openalex-snapshot
Chatter detection in milling process based on the energy entropy of VMD and WPD
inferredcites →https://doi.org/10.1016/j.ymssp.2011.11.022openalex-snapshot
Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines
inferredcites →https://doi.org/10.1016/j.ymssp.2015.02.020openalex-snapshot
Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system
inferredcites →https://doi.org/10.1016/j.ymssp.2015.03.030openalex-snapshot
Weak fault signature extraction of rotating machinery using flexible analytic wavelet transform
inferredcites →https://doi.org/10.1016/j.ymssp.2017.11.046openalex-snapshot
Chatter detection in milling process based on VMD and energy entropy
inferredcites →https://doi.org/10.1016/j.ymssp.2018.05.052openalex-snapshot
Early chatter identification based on an optimized variational mode decomposition
inferredcites →https://doi.org/10.1016/j.ymssp.2019.106385openalex-snapshot
A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting
inferredcites →https://doi.org/10.1103/physrevlett.88.174102openalex-snapshot
Permutation Entropy: A Natural Complexity Measure for Time Series
inferredcites →https://doi.org/10.1109/cic.2002.1166726openalex-snapshot
Multiscale entropy to distinguish physiologic and synthetic RR time series
inferredcites →https://doi.org/10.1109/tim.2015.2421711openalex-snapshot
A Scale Factor-Based Interpolated DFT for Chatter Frequency Estimation
inferredcites →https://doi.org/10.1109/tim.2019.2917982openalex-snapshot
Envelope Spectrum L-Kurtosis and Its Application for Fault Detection of Rolling Element Bearings
inferredcites →https://doi.org/10.1109/tsp.2013.2288675openalex-snapshot
Variational Mode Decomposition
inferredcites →https://doi.org/10.1109/urai.2016.7625792openalex-snapshot
Rolling bearing fault diagnosis based on variational mode decomposition and permutation entropy
inferredcites →https://doi.org/10.1140/epjp/i2015-15194-1openalex-snapshot
Stability analysis of titanium alloy milling by multiscale entropy and Hurst exponent
inferredcites →https://doi.org/10.1155/2016/9372691openalex-snapshot
A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition
inferredcites →https://doi.org/10.1155/2021/6640387openalex-snapshot
A Novel Parameter‐Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection
inferredcites →https://doi.org/10.1177/1687814019836311openalex-snapshot
Bearings fault diagnosis based on adaptive local iterative filtering–multiscale permutation entropy and multinomial logistic model with group-lasso
inferredcites →https://doi.org/10.3390/s18051523openalex-snapshot
Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN
inferredcites →https://doi.org/10.3901/jme.2015.03.129openalex-snapshot
New Procedure and Index for the Parameter Optimization of Complex Wavelet Based Resonance Demodulation
inferredcites →https://doi.org/10.3901/jme.2015.09.206openalex-snapshot
Multi-scale Permutation Entropy Based On-line Milling Chatter Detection Method
inferredcites →https://doi.org/10.3901/jme.2020.12.001openalex-snapshot
Strain Analysis of Six-axis Force/Torque Sensors with Y-shaped Crossbeam
inferredcites →https://doi.org/10.3901/jme.2020.24.001openalex-snapshot
Intelligent Monitoring and Control Technology of Cutting Chatter

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.2139/ssrn.4592181openalex-extracted
Significant Wave Height Prediction Using Adaptive Variational Mode Decomposition and Error-Compensation Model
inferred← citeshttps://doi.org/10.1007/s00170-021-07769-xopenalex-snapshot
Online chatter detection in robotic machining based on adaptive variational mode decomposition
inferred← citeshttps://doi.org/10.1007/s00170-022-09920-8openalex-snapshot
An adaptive, artificial intelligence-based chatter detection method for milling operations
inferred← citeshttps://doi.org/10.1007/s00170-022-10235-xopenalex-snapshot
Milling chatter detection of thin-walled parts based on GA-SE-SCK-VMD and RCMDE
inferred← citeshttps://doi.org/10.1007/s00170-022-10672-8openalex-snapshot
A chatter detection method in milling based on gray wolf optimization VMD and multi-entropy features
inferred← citeshttps://doi.org/10.1007/s00170-023-10944-xopenalex-snapshot
Research on milling chatter identification of thin-walled parts based on incremental learning and multi-signal fusion
inferred← citeshttps://doi.org/10.1007/s00170-023-10969-2openalex-snapshot
Chatter detection in milling processes—a review on signal processing and condition classification
inferred← citeshttps://doi.org/10.1007/s00170-023-12030-8openalex-snapshot
On-line evolutionary identification technology for milling chatter of thin walled parts based on the incremental-sparse K-means and the online sequential extreme learning machine
inferred← citeshttps://doi.org/10.1007/s00170-023-12832-wopenalex-snapshot
Real-time chatter detection based on fast recursive variational mode decomposition
inferred← citeshttps://doi.org/10.1007/s00170-025-15693-7openalex-snapshot
Chatter feature extraction for milling thin-walled parts based on GWO-VMD and CMSE
inferred← citeshttps://doi.org/10.1007/s00170-026-18983-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10845-024-02486-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12206-024-1209-3openalex-snapshot
Optimized VMD and novel ECK-Venn based approach to IMF selection for chatter and tool wear classification
inferred← citeshttps://doi.org/10.1007/s40430-026-06457-9openalex-snapshot
Review of tool condition monitoring in milling of thin-walled parts based on digital twin technology
inferred← citeshttps://doi.org/10.1016/j.apor.2025.104519openalex-snapshot
Short-term significant wave height prediction using adaptive variational mode decomposition and error-compensation model
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Infrastructure monitoring and quality diagnosis in CNC machining: A review
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inferred← citeshttps://doi.org/10.1016/j.ijmecsci.2022.107929openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jmapro.2024.09.091openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111420openalex-snapshot
A method for reducing transient electromagnetic Noise: Combination of variational mode decomposition and wavelet denoising algorithm
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111755openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2023.113110openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116530openalex-snapshot
Online milling chatter detection based on signal correlation and optimized variational mode decomposition
inferred← citeshttps://doi.org/10.1016/j.optlastec.2024.111212openalex-snapshot
A novel method for improving salinity resolution of optical fiber sensor based on modified adaptive variational mode decomposition
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Impact monitoring on complex structure using VMD-MPE feature extraction and transfer learning
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.108622openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109367openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110451openalex-snapshot
Chatter detection for micro milling considering environment noises without the requirement of dominant frequency
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114015openalex-snapshot
Machining chatter detection using optimized VMD with multi-metric adaptive mode selection and hierarchical weighted permutation entropy
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inferred← citeshttps://doi.org/10.1088/2631-8695/ae35dfopenalex-snapshot
Acoustic signal-based chatter detection in milling using variational mode decomposition and k-NN classifiers
inferred← citeshttps://doi.org/10.1109/access.2024.3501583openalex-snapshot
Application of an Improved Minimum Noise Amplitude Deconvolution for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tmech.2022.3188680openalex-snapshot
An Early Chatter Detection Method Based on Multivariate Variational Mode Decomposition and Chatter Correlation Factor
inferred← citeshttps://doi.org/10.1177/09544062261419814openalex-snapshot
Adaptive decomposition and feature identification of milling chatter signals based on ITSLWOA-VMD-MPE
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Prediction, detection, and suppression of regenerative chatter in milling
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inferred← citeshttps://doi.org/10.3390/machines12030184openalex-snapshot
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