On the public citation graph

Real-Time Chatter Onset Detection using Normalized Spectral Entropy in High-Speed Micromilling

https://doi.org/10.2139/ssrn.5959701
0 signed · 28 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/s00170-012-4074-7openalex-snapshot
Development of a stability intelligent control system for turning
inferredcites →https://doi.org/10.1007/s00170-016-9660-7openalex-snapshot
Chatter detection in milling process based on synchrosqueezing transform of sound signals
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/s00170-018-2306-1openalex-snapshot
Chatter detection and stability region acquisition in thin-walled workpiece milling based on CMWT
inferredcites →https://doi.org/10.1007/s00170-019-04639-5openalex-snapshot
Chatter detection in milling processes using frequency-domain Rényi entropy
inferredcites →https://doi.org/10.1007/s00170-020-05476-7openalex-snapshot
Vibration recognition for peripheral milling thin-walled workpieces using sample entropy and energy entropy
inferredcites →https://doi.org/10.1007/s00170-020-06265-yopenalex-snapshot
Milling chatter detection based on VMD and difference of power spectral entropy
inferredcites →https://doi.org/10.1007/s00170-022-09666-3openalex-snapshot
Milling chatter identification by optimized variational mode decomposition and fuzzy entropy
inferredcites →https://doi.org/10.1007/s40857-020-00180-8openalex-snapshot
Investigation of Tool Chatter Features at Higher Metal Removal Rate Using Sound Signals
inferredcites →https://doi.org/10.1007/s42417-023-01152-8openalex-snapshot
A Rotor Dynamics based Higher Order Stability Model to Investigate the Stability of High-Speed Micromilling
inferredcites →https://doi.org/10.1016/j.cja.2020.09.029openalex-snapshot
Vibration signal-based chatter identification for milling of thin-walled structure
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.2012.06.007openalex-snapshot
Analysis of the entropy randomness index for machining chatter detection
inferredcites →https://doi.org/10.1016/j.ijmachtools.2013.02.007openalex-snapshot
Chatter identification in end milling process using wavelet packets and Hilbert–Huang transform
inferredcites →https://doi.org/10.1016/j.ijmachtools.2015.06.002openalex-snapshot
Modeling dynamic stability in high-speed micromilling of Ti–6Al–4V via velocity and chip load dependent cutting coefficients
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.ijmachtools.2018.04.007openalex-snapshot
On-line chatter detection in milling using drive motor current commands extracted from CNC
inferredcites →https://doi.org/10.1016/j.ijmecsci.2018.04.038openalex-snapshot
Characterization of lubrication sensitivity on dynamic stability in high-speed micromilling of Ti–6Al–4V via a novel numerical scheme
inferredcites →https://doi.org/10.1016/j.jmatprotec.2008.10.054openalex-snapshot
In-process monitoring and detection of chip formation and chatter for CNC turning
inferredcites →https://doi.org/10.1016/j.jmatprotec.2009.11.007openalex-snapshot
On-line chatter detection and identification based on wavelet and support vector machine
inferredcites →https://doi.org/10.1016/j.jsv.2003.11.012openalex-snapshot
Vibration analysis in high speed rough and finish milling hardened steel
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.2022.109617openalex-snapshot
Investigation on an in-process chatter detection strategy for micro-milling titanium alloy thin-walled parts and its implementation perspectives
inferredcites →https://doi.org/10.1016/s0007-8506(07)60184-xopenalex-snapshot
A Critical Review of Sensors for Unmanned Machining
inferredcites →https://doi.org/10.1016/s0890-6955(96)00030-2openalex-snapshot
Tool wear and chatter detection using the coherence function of two crossed accelerations
inferredcites →https://doi.org/10.1115/1.4034897openalex-snapshot
Modeling of Dynamic Instability Via Segmented Cutting Coefficients and Chatter Onset Detection in High-Speed Micromilling of Ti6Al4V
inferredcites →https://doi.org/10.1115/1.4040617openalex-snapshot
On-Line Energy-Based Milling Chatter Detection
inferredcites →https://doi.org/10.1140/epjp/i2015-15194-1openalex-snapshot
Stability analysis of titanium alloy milling by multiscale entropy and Hurst exponent
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.