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Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation

https://doi.org/10.3390/s21051686
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Integration of EEMD and ICA for wind turbine gearbox diagnosis
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Influence of manufacturing errors on the dynamic behavior of planetary gears
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Theoretical frequency analysis of vibrations from planetary gearboxes
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Dynamic and phenomenological vibration models for failure prediction on planet gears of planetary gearboxes
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A technique for calculating the time domain averages of the vibration of the individual planet gears and the sun gear in an epicyclic gearbox
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Wind turbine fault detection using multiwavelet denoising with the data-driven block threshold
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A case study of sample entropy analysis to the fault detection of bearing in wind turbine
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Assessment of sideband energy ratio technique in detection of wind turbine gear defects
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Application of the ensemble empirical mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine
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Dynamic simulation of planetary gear with tooth root crack in ring gear
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A prognostic method for fault detection in wind turbine drivetrains
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Vibration signal modeling of a planetary gear set for tooth crack detection
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Fault diagnosis for wind turbine planetary ring gear via a meshing resonance based filtering algorithm
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A dynamic model to predict modulation sidebands of a planetary gear set having manufacturing errors
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Vibration signal models for fault diagnosis of planetary gearboxes
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A time domain approach to diagnose gearbox fault based on measured vibration signals
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Complex signal analysis for wind turbine planetary gearbox fault diagnosis via iterative atomic decomposition thresholding
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Phenomenological models of vibration signals for condition monitoring and fault diagnosis of epicyclic gearboxes
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Detection of gear cracks in a complex gearbox of wind turbines using supervised bounded component analysis of vibration signals collected from multi-channel sensors
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A new SKRgram based demodulation technique for planet bearing fault detection
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Spectral negentropy based sidebands and demodulation analysis for planet bearing fault diagnosis
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Meshing frequency modulation (MFM) index-based kurtogram for planet bearing fault detection
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Velocity synchronous bilinear distribution for planetary gearbox fault diagnosis under non-stationary conditions
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Fault detection of planetary subassemblies in a wind turbine gearbox using TQWT based sparse representation
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A hybrid approach for fault diagnosis of planetary bearings using an internal vibration sensor
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Research of weak fault feature information extraction of planetary gear based on ensemble empirical mode decomposition and adaptive stochastic resonance
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A novel wind turbine bearing fault diagnosis method based on Integral Extension LMD
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Complex signal analysis for planetary gearbox fault diagnosis via shift invariant dictionary learning
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A dual path optimization ridge estimation method for condition monitoring of planetary gearbox under varying-speed operation
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A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW
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Optimal demodulation subband selection for sun gear crack fault diagnosis in planetary gearbox
inferredcites →https://doi.org/10.1016/j.measurement.2018.10.054openalex-snapshot
Frequency-shift multiscale noise tuning stochastic resonance method for fault diagnosis of generator bearing in wind turbine
inferredcites →https://doi.org/10.1016/j.mechmachtheory.2013.10.014openalex-snapshot
An explanation of frequency features enabling detection of faults in equally spaced planetary gearbox
inferredcites →https://doi.org/10.1016/j.neucom.2017.02.045openalex-snapshot
A recurrent neural network based health indicator for remaining useful life prediction of bearings
inferredcites →https://doi.org/10.1016/j.renene.2010.05.012openalex-snapshot
Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution
inferredcites →https://doi.org/10.1016/j.renene.2011.01.009openalex-snapshot
Feature extraction method of wind turbine based on adaptive Morlet wavelet and SVD
inferredcites →https://doi.org/10.1016/j.renene.2012.03.003openalex-snapshot
Condition monitoring of wind turbines: Techniques and methods
inferredcites →https://doi.org/10.1016/j.renene.2012.04.019openalex-snapshot
Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation
inferredcites →https://doi.org/10.1016/j.renene.2012.04.020openalex-snapshot
Analyzing bearing faults in wind turbines: A data-mining approach
inferredcites →https://doi.org/10.1016/j.renene.2012.05.018openalex-snapshot
A new wind turbine fault diagnosis method based on the local mean decomposition
inferredcites →https://doi.org/10.1016/j.renene.2013.04.005openalex-snapshot
A new noise-controlled second-order enhanced stochastic resonance method with its application in wind turbine drivetrain fault diagnosis
inferredcites →https://doi.org/10.1016/j.renene.2013.12.047openalex-snapshot
Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel time–frequency analysis
inferredcites →https://doi.org/10.1016/j.renene.2015.04.063openalex-snapshot
A new wind turbine fault diagnosis method based on ensemble intrinsic time-scale decomposition and WPT-fractal dimension
inferredcites →https://doi.org/10.1016/j.renene.2015.06.041openalex-snapshot
Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions
inferredcites →https://doi.org/10.1016/j.renene.2015.10.036openalex-snapshot
A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique
inferredcites →https://doi.org/10.1016/j.renene.2015.12.010openalex-snapshot
Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
inferredcites →https://doi.org/10.1016/j.renene.2016.01.099openalex-snapshot
Vibration condition monitoring system for wind turbine bearings based on noise suppression with multi-point data fusion
inferredcites →https://doi.org/10.1016/j.renene.2016.03.025openalex-snapshot
Multi-fault detection and failure analysis of wind turbine gearbox using complex wavelet transform
inferredcites →https://doi.org/10.1016/j.renene.2016.12.013openalex-snapshot
Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations
inferredcites →https://doi.org/10.1016/j.renene.2017.03.035openalex-snapshot
Planet gear fault localization for wind turbine gearbox using acoustic emission signals
inferredcites →https://doi.org/10.1016/j.renene.2017.10.104openalex-snapshot
Detection of natural crack in wind turbine gearbox
inferredcites →https://doi.org/10.1016/j.renene.2018.09.027openalex-snapshot
Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear
inferredcites →https://doi.org/10.1016/j.renene.2018.12.094openalex-snapshot
Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform
inferredcites →https://doi.org/10.1016/j.rser.2007.05.008openalex-snapshot
Condition monitoring and fault detection of wind turbines and related algorithms: A review
inferredcites →https://doi.org/10.1016/j.rser.2009.06.031openalex-snapshot
A brief status on condition monitoring and fault diagnosis in wind energy conversion systems
inferredcites →https://doi.org/10.1016/j.rser.2015.04.139openalex-snapshot
Performance assessment of wind turbine gearboxes using in-service data: Current approaches and future trends
inferredcites →https://doi.org/10.1016/j.rser.2015.08.061openalex-snapshot
A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management
inferredcites →https://doi.org/10.1016/j.rser.2015.11.032openalex-snapshot
A review of wind turbine bearing condition monitoring: State of the art and challenges
inferredcites →https://doi.org/10.1016/j.sigpro.2010.10.018openalex-snapshot
Resonance-based signal decomposition: A new sparsity-enabled signal analysis method
inferredcites →https://doi.org/10.1016/j.triboint.2008.06.013openalex-snapshot
Multi-scale enveloping spectrogram for vibration analysis in bearing defect diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2006.08.007openalex-snapshot
Cyclic spectral analysis in practice
inferredcites →https://doi.org/10.1016/j.ymssp.2008.07.019openalex-snapshot
Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine
inferredcites →https://doi.org/10.1016/j.ymssp.2010.07.018openalex-snapshot
Hilbert transform in vibration analysis
inferredcites →https://doi.org/10.1016/j.ymssp.2011.01.022openalex-snapshot
Angular resampling for vibration analysis in wind turbines under non-linear speed fluctuation
inferredcites →https://doi.org/10.1016/j.ymssp.2012.06.021openalex-snapshot
Planetary gearbox fault diagnosis using an adaptive stochastic resonance method
inferredcites →https://doi.org/10.1016/j.ymssp.2013.05.016openalex-snapshot
Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes
inferredcites →https://doi.org/10.1016/j.ymssp.2013.08.017openalex-snapshot
Gear parameter identification in a wind turbine gearbox using vibration signals
inferredcites →https://doi.org/10.1016/j.ymssp.2014.07.009openalex-snapshot
Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions
inferredcites →https://doi.org/10.1016/j.ymssp.2015.03.003openalex-snapshot
A time–frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions
inferredcites →https://doi.org/10.1016/j.ymssp.2015.03.014openalex-snapshot
Time–frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions
inferredcites →https://doi.org/10.1016/j.ymssp.2015.09.040openalex-snapshot
Autocorrelation-based time synchronous averaging for condition monitoring of planetary gearboxes in wind turbines
inferredcites →https://doi.org/10.1016/j.ymssp.2015.11.024openalex-snapshot
Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2016.02.047openalex-snapshot
Joint envelope and frequency order spectrum analysis based on iterative generalized demodulation for planetary gearbox fault diagnosis under nonstationary conditions
inferredcites →https://doi.org/10.1016/j.ymssp.2016.04.023openalex-snapshot
Iterative generalized time–frequency reassignment for planetary gearbox fault diagnosis under nonstationary conditions
inferredcites →https://doi.org/10.1016/j.ymssp.2016.04.034openalex-snapshot
A windowing and mapping strategy for gear tooth fault detection of a planetary gearbox
inferredcites →https://doi.org/10.1016/j.ymssp.2016.07.046openalex-snapshot
Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey
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A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
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Application of cyclic coherence function to bearing fault detection in a wind turbine generator under electromagnetic vibration
inferredcites →https://doi.org/10.1016/j.ymssp.2017.01.032openalex-snapshot
Two methods for modeling vibrations of planetary gearboxes including faults: Comparison and validation
inferredcites →https://doi.org/10.1016/j.ymssp.2017.02.024openalex-snapshot
A novel vibration-based fault diagnostic algorithm for gearboxes under speed fluctuations without rotational speed measurement
inferredcites →https://doi.org/10.1016/j.ymssp.2018.08.010openalex-snapshot
A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions
inferredcites →https://doi.org/10.1016/s0963-8695(97)85537-5openalex-snapshot
Acoustic emission evaluation of composite wind turbine blades during fatigue testing
inferredcites →https://doi.org/10.1049/iet-rpg.2013.0177openalex-snapshot
Side‐band algorithm for automatic wind turbine gearbox fault detection and diagnosis
inferredcites →https://doi.org/10.1049/iet-rpg.2016.0722openalex-snapshot
Application of the multi‐scale enveloping spectrogram to detect weak faults in a wind turbine gearbox
inferredcites →https://doi.org/10.1049/iet-rpg:20080006openalex-snapshot
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Survey of Failures in Wind Power Systems With Focus on Swedish Wind Power Plants During 1997–2005
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Wind Turbine Condition Monitoring Based on an Improved Spline-Kernelled Chirplet Transform
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Sparse Feature Identification Based on Union of Redundant Dictionary for Wind Turbine Gearbox Fault Diagnosis
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Wavelet Transform With Tunable Q-Factor
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General Parameterized Time-Frequency Transform
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Cyclostationary Analysis of a Faulty Bearing in the Wind Turbine
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Detection and Quantization of Bearing Fault in Direct Drive Wind Turbine via Comparative Analysis
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Adaptive fault detection of the bearing in wind turbine generators using parameterless empirical wavelet transform and margin factor
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An Explanation for the Asymmetry of the Modulation Sidebands about the Tooth Meshing Frequency in Epicyclic Gear Vibration
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Condition Monitoring Techniques of the Wind Turbines Gearbox and Rotor
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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/10.1109/mcai66356.2025.11381947openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3632775.3661991openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2021/5704271openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2022/1020400openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/stc/4023580openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/01423312261465458openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/14759217241292753openalex-snapshot
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inferred← citeshttps://doi.org/10.2139/ssrn.6848972openalex-snapshot
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inferred← citeshttps://doi.org/10.2478/amns-2024-2723openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/ai6080179openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app12083994openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app12157814openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/applmech7010011openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/e23070794openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/e25081188openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics13091700openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en15186700openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en15218268openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en16104123openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en16145286openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en16155793openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en17051010openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en18051026openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en18092266openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en18246504openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/eng6120333openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/machines10121184openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/machines13050434openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/machines13080746openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/machines14040386openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math12091307openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/pr9122224openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22093288openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22186763openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22197644openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22208017openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s23229155openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/ijiit.354071openalex-snapshot
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inferred← citeshttps://doi.org/10.62278/jits.v2i2.46openalex-snapshot
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inferred← citeshttps://doi.org/10.64289/iej.26.0309.8037893openalex-snapshot
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