On the public citation graph

Acoustic Emission Characteristics of Planetary Gear Damage of Industrial Robot Gearbox Based on Wavelet Packet Decomposition and Autocorrelation Spectrum

https://doi.org/10.2139/ssrn.4778657
0 signed · 15 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/s10010-021-00451-4openalex-extracted
Comparative case studies on ring gear fault diagnosis of planetary gearboxes using vibrations and acoustic emissions
inferredcites →https://doi.org/10.1007/s11831-020-09480-8openalex-extracted
A Review on Fault Diagnosis and Condition Monitoring of Gearboxes by Using AE Technique
inferredcites →https://doi.org/10.1007/s40857-021-00217-6openalex-extracted
A Review of Gear Fault Diagnosis of Planetary Gearboxes Using Acoustic Emissions
inferredcites →https://doi.org/10.1016/j.apacoust.2016.07.026openalex-extracted
A comparative study of the effectiveness of vibration and acoustic emission in diagnosing a defective bearing in a planetry gearbox
inferredcites →https://doi.org/10.1016/j.apacoust.2017.12.004openalex-extracted
A study on helicopter main gearbox planetary bearing fault diagnosis
inferredcites →https://doi.org/10.1016/j.mechatronics.2014.01.013openalex-extracted
A data-driven approach to diagnostics of repetitive processes in the distribution domain – Applications to gearbox diagnostics in industrial robots and rotating machines
inferredcites →https://doi.org/10.1016/j.ymssp.2022.108947openalex-extracted
High-speed train wheel set bearing fault diagnosis and prognostics: Fingerprint feature recognition method based on acoustic emission
inferredcites →https://doi.org/10.1016/j.ymssp.2022.109980openalex-extracted
Gearbox fault diagnosis based on a fusion model of virtual physical model and data-driven method
inferredcites →https://doi.org/10.1016/j.ymssp.2022.110090openalex-extracted
An experimental study of acoustic emissions from active surface degradation in planetary gears
inferredcites →https://doi.org/10.1109/access.2021.3113515openalex-extracted
Application of a Novel Improved Adaptive CYCBD Method in Gearbox Compound Fault Diagnosis
inferredcites →https://doi.org/10.1109/jsen.2021.3052742openalex-extracted
Front Cover
inferredcites →https://doi.org/10.1109/tim.2023.3312761openalex-extracted
A Comparative Experimental Study of Vibration and Acoustic Emission on Fault Diagnosis of Low-Speed Bearing
inferredcites →https://doi.org/10.3390/s140101372openalex-extracted
Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study
inferredcites →https://doi.org/10.3390/s21051686openalex-extracted
Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation
inferredcites →https://doi.org/10.3390/s23104921openalex-extracted
Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion
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.