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Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s12206-016-0206-6openalex-snapshot
Defect diagnostics of roller bearing using instantaneous frequency normalization under fluctuant rotating speed
inferredcites →https://doi.org/10.1016/j.acha.2016.03.001openalex-snapshot
Adaptive local iterative filtering for signal decomposition and instantaneous frequency analysis
inferredcites →https://doi.org/10.1016/j.chaos.2015.09.007openalex-snapshot
A new compound faults detection method for rolling bearings based on empirical wavelet transform and chaotic oscillator
inferredcites →https://doi.org/10.1016/j.dsp.2011.09.008openalex-snapshot
A rotating machinery fault diagnosis method based on local mean decomposition
inferredcites →https://doi.org/10.1016/j.engstruct.2004.07.007openalex-snapshot
Damage detection in gear systems using empirical mode decomposition
inferredcites →https://doi.org/10.1016/j.isatra.2015.12.009openalex-snapshot
A hybrid fault diagnosis method based on second generation wavelet de-noising and local mean decomposition for rotating machinery
inferredcites →https://doi.org/10.1016/j.jsv.2004.10.005openalex-snapshot
An improved Hilbert–Huang transform and its application in vibration signal analysis
inferredcites →https://doi.org/10.1016/j.jsv.2005.12.058openalex-snapshot
Time-varying vibration decomposition and analysis based on the Hilbert transform
inferredcites →https://doi.org/10.1016/j.jsv.2010.09.030openalex-snapshot
Time–frequency analysis of time-varying modulated signals based on improved energy separation by iterative generalized demodulation
inferredcites →https://doi.org/10.1016/j.jsv.2016.07.013openalex-snapshot
Amplitude and frequency demodulation analysis for fault diagnosis of planet bearings
inferredcites →https://doi.org/10.1016/j.measurement.2011.10.010openalex-snapshot
An ensemble local means decomposition method and its application to local rub-impact fault diagnosis of the rotor systems
inferredcites →https://doi.org/10.1016/j.measurement.2014.05.023openalex-snapshot
Nonlinearity and non-stationarity analysis of dynamic response of vehicle–track coupling system enhanced by Huang transform
inferredcites →https://doi.org/10.1016/j.measurement.2016.01.023openalex-snapshot
Wheel-bearing fault diagnosis of trains using empirical wavelet transform
inferredcites →https://doi.org/10.1016/j.measurement.2016.04.069openalex-snapshot
A new approach based on OMA-empirical wavelet transforms for bearing fault diagnosis
inferredcites →https://doi.org/10.1016/j.measurement.2016.08.039openalex-snapshot
Demodulation analysis based on adaptive local iterative filtering for bearing fault diagnosis
inferredcites →https://doi.org/10.1016/j.mechmachtheory.2007.05.007openalex-snapshot
Application of frequency family separation method based upon EMD and local Hilbert energy spectrum method to gear fault diagnosis
inferredcites →https://doi.org/10.1016/j.mechmachtheory.2008.04.006openalex-snapshot
Local rub-impact fault diagnosis of the rotor systems based on EMD
inferredcites →https://doi.org/10.1016/j.mechmachtheory.2011.08.007openalex-snapshot
Application of local mean decomposition to the surveillance and diagnostics of low-speed helical gearbox
inferredcites →https://doi.org/10.1016/j.mechmachtheory.2013.08.014openalex-snapshot
A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy
inferredcites →https://doi.org/10.1016/j.mechmachtheory.2015.04.009openalex-snapshot
Gear fault diagnosis method based on local mean decomposition and generalized morphological fractal dimensions
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.2012.05.018openalex-snapshot
A new wind turbine fault diagnosis method based on the local mean decomposition
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.2015.12.010openalex-snapshot
Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
inferredcites →https://doi.org/10.1016/j.sigpro.2013.04.015openalex-snapshot
Wavelets for fault diagnosis of rotary machines: A review with applications
inferredcites →https://doi.org/10.1016/j.sigpro.2013.09.013openalex-snapshot
Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing
inferredcites →https://doi.org/10.1016/j.sigpro.2015.09.032openalex-snapshot
Adaptive signal decomposition based on wavelet ridge and its application
inferredcites →https://doi.org/10.1016/j.sigpro.2015.09.041openalex-snapshot
Filter bank property of variational mode decomposition and its applications
inferredcites →https://doi.org/10.1016/j.ymssp.2004.01.006openalex-snapshot
A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing
inferredcites →https://doi.org/10.1016/j.ymssp.2005.02.003openalex-snapshot
Gearbox fault diagnosis using empirical mode decomposition and Hilbert spectrum
inferredcites →https://doi.org/10.1016/j.ymssp.2007.09.013openalex-snapshot
Theoretical analysis and comparison of the Hilbert transform decomposition methods
inferredcites →https://doi.org/10.1016/j.ymssp.2007.10.003openalex-snapshot
Rotating machine fault diagnosis using empirical mode decomposition
inferredcites →https://doi.org/10.1016/j.ymssp.2008.11.005openalex-snapshot
Application of the EEMD method to rotor fault diagnosis of rotating machinery
inferredcites →https://doi.org/10.1016/j.ymssp.2009.09.002openalex-snapshot
Multivariate and multiscale monitoring of large-size low-speed bearings using Ensemble Empirical Mode Decomposition method combined with Principal Component Analysis
inferredcites →https://doi.org/10.1016/j.ymssp.2009.12.007openalex-snapshot
An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection
inferredcites →https://doi.org/10.1016/j.ymssp.2010.03.003openalex-snapshot
Performance enhancement of ensemble empirical mode decomposition
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.2010.10.002openalex-snapshot
Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions
inferredcites →https://doi.org/10.1016/j.ymssp.2011.04.005openalex-snapshot
Decomposition of non-stationary signals into varying time scales: Some aspects of the EMD and HVD methods
inferredcites →https://doi.org/10.1016/j.ymssp.2011.10.011openalex-snapshot
Comparative study of instantaneous frequency based methods for leak detection in pipeline networks
inferredcites →https://doi.org/10.1016/j.ymssp.2012.01.022openalex-snapshot
Characterization of gear faults in variable rotating speed using Hilbert-Huang Transform and instantaneous dimensionless frequency normalization
inferredcites →https://doi.org/10.1016/j.ymssp.2012.09.003openalex-snapshot
Hilbert transform methods for nonparametric identification of nonlinear time varying vibration systems
inferredcites →https://doi.org/10.1016/j.ymssp.2012.09.015openalex-snapshot
A review on empirical mode decomposition in fault diagnosis of rotating machinery
inferredcites →https://doi.org/10.1016/j.ymssp.2013.01.017openalex-snapshot
Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples
inferredcites →https://doi.org/10.1016/j.ymssp.2013.02.020openalex-snapshot
Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition
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.2015.02.002openalex-snapshot
Rolling bearing fault diagnosis based on LCD–TEO and multifractal detrended fluctuation analysis
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.2015.08.023openalex-snapshot
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
inferredcites →https://doi.org/10.1016/j.ymssp.2015.10.017openalex-snapshot
Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment
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.2016.02.049openalex-snapshot
A comparative study between Empirical Wavelet Transforms and Empirical Mode Decomposition Methods: Application to bearing defect diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2016.02.067openalex-snapshot
A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis
inferredcites →https://doi.org/10.1016/j.ymssp.2016.03.015openalex-snapshot
Nonlinear vibrating system identification via Hilbert decomposition
inferredcites →https://doi.org/10.1016/s0888-3270(03)00075-xopenalex-snapshot
Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
inferredcites →https://doi.org/10.1016/s0888-3270(03)00099-2openalex-snapshot
Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings
inferredcites →https://doi.org/10.1051/meca/2015058openalex-snapshot
Detection of gear faults in variable rotating speed using variational mode decomposition (VMD)
inferredcites →https://doi.org/10.1088/0957-0233/20/12/125701openalex-snapshot
Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs
inferredcites →https://doi.org/10.1088/0957-0233/20/2/025704openalex-snapshot
A demodulation method based on improved local mean decomposition and its application in rub-impact fault diagnosis
inferredcites →https://doi.org/10.1088/0957-0233/27/7/075101openalex-snapshot
Bearing fault diagnosis based on variational mode decomposition and total variation denoising
inferredcites →https://doi.org/10.1088/0964-1726/19/7/075008openalex-snapshot
Teager energy operator for multi-modulation extraction and its application for gearbox fault detection
inferredcites →https://doi.org/10.1098/rsif.2005.0058openalex-snapshot
The local mean decomposition and its application to EEG perception data
inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
inferredcites →https://doi.org/10.1098/rspa.2003.1123openalex-snapshot
A confidence limit for the empirical mode decomposition and Hilbert spectral analysis
inferredcites →https://doi.org/10.1098/rspa.2003.1221openalex-snapshot
A study of the characteristics of white noise using the empirical mode decomposition method
inferredcites →https://doi.org/10.1098/rspa.2006.1761openalex-snapshot
Intrinsic time-scale decomposition: time–frequency–energy analysis and real-time filtering of non-stationary signals
inferredcites →https://doi.org/10.1103/physreve.92.032916openalex-snapshot
Nonlinear mode decomposition: A noise-robust, adaptive decomposition method
inferredcites →https://doi.org/10.1109/78.212729openalex-snapshot
On amplitude and frequency demodulation using energy operators
inferredcites →https://doi.org/10.1109/78.277799openalex-snapshot
Energy separation in signal modulations with application to speech analysis
inferredcites →https://doi.org/10.1109/jproc.2015.2491262openalex-snapshot
Reconstructing Time-Dependent Dynamics
inferredcites →https://doi.org/10.1109/proc.1966.5138openalex-snapshot
On the quadrature approximation to the Hilbert transform of modulated signals
inferredcites →https://doi.org/10.1109/tbme.2005.855719openalex-snapshot
Application of the Empirical Mode Decomposition to the Analysis of Esophageal Manometric Data in Gastroesophageal Reflux Disease
inferredcites →https://doi.org/10.1109/tsp.2013.2288675openalex-snapshot
Variational Mode Decomposition
inferredcites →https://doi.org/10.1115/1.4023814openalex-snapshot
Ensemble Empirical Mode Decomposition-Based Teager Energy Spectrum for Bearing Fault Diagnosis
inferredcites →https://doi.org/10.1115/1.4031797openalex-snapshot
An Automated Approach to Enhance Multiscale Signal Monitoring of Manufacturing Processes
inferredcites →https://doi.org/10.1142/s1793536909000047openalex-snapshot
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
inferredcites →https://doi.org/10.1142/s179353690900028xopenalex-snapshot
ITERATIVE FILTERING AS AN ALTERNATIVE ALGORITHM FOR EMPIRICAL MODE DECOMPOSITION
inferredcites →https://doi.org/10.1142/s1793536910000367openalex-snapshot
A CRITERION FOR SELECTING RELEVANT INTRINSIC MODE FUNCTIONS IN EMPIRICAL MODE DECOMPOSITION
inferredcites →https://doi.org/10.1142/s1793536910000422openalex-snapshot
COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD
inferredcites →https://doi.org/10.1146/annurev.fluid.31.1.417openalex-snapshot
A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum
inferredcites →https://doi.org/10.1155/2016/3196465openalex-snapshot
A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine
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/10.1177/0142331216644041openalex-snapshot
Fault diagnosis of a wind turbine rolling bearing using adaptive local iterative filtering and singular value decomposition
inferredcites →https://doi.org/10.1177/0957650915603613openalex-snapshot
Pressure fluctuation signal analysis of a hydraulic turbine based on variational mode decomposition
inferredcites →https://doi.org/10.1177/1077546311403185openalex-snapshot
Application of the intrinsic time-scale decomposition method to fault diagnosis of wind turbine bearing
inferredcites →https://doi.org/10.1177/1077546314550221openalex-snapshot
An enhanced empirical mode decomposition method for blind component separation of a single-channel vibration signal mixture
inferredcites →https://doi.org/10.1177/1748006x14539678openalex-snapshot
Bearing fault diagnosis of wind turbine based on intrinsic time-scale decomposition frequency spectrum
inferredcites →https://doi.org/10.3390/s131216950openalex-snapshot
Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition
inferredcites →https://doi.org/10.3390/s16060897openalex-snapshot
Underdetermined Blind Source Separation with Variational Mode Decomposition for Compound Roller Bearing Fault Signals
inferredcites →https://doi.org/10.5755/j01.eie.22.4.15918openalex-snapshot
An Improved Time-Frequency Representation Based on Nonlinear Mode Decomposition and Adaptive Optimal Kernel
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1016/j.ymssp.2019.106530openalex-snapshot
Generalized adaptive mode decomposition for nonstationary signal analysis of rotating machinery: Principle and applications
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.107331openalex-snapshot
Permanent magnet synchronous generator stator current AM-FM model and joint signature analysis for planetary gearbox fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.107909openalex-snapshot
Enhancement of adaptive mode decomposition via angular resampling for nonstationary signal analysis of rotating machinery: Principle and applications
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109668openalex-snapshot
Empirical mode decomposition based techniques for imaging of shallow delamination in concrete using impact echo
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.110037openalex-snapshot
Identification and separation of coupled vibration sources in multi-rotor gas turbines under time-varying speed conditions
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110107openalex-snapshot
Smart multichannel mode extraction for enhanced bearing fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110204openalex-snapshot
Time-varying filtering for nonstationary signal analysis of rotating machinery: Principle and applications
inferred← citeshttps://doi.org/10.1016/j.ymssp.2023.110463openalex-snapshot
Deep learning-based adaptive mode decomposition and instantaneous frequency estimation for vibration signal
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112571openalex-snapshot
Differential time-frequency mode decomposition and its application in rotating machinery fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112802openalex-snapshot
Multivariate symplectic sparsest united decomposition and its application to rolling bearing fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.113201openalex-snapshot
Improved mode decomposition method for vibration signal denoising of aero-engine shaft bearing
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114758openalex-snapshot
Adaptive short time fractional Fourier transform and its applications in locomotive gear fault diagnosis
inferred← citeshttps://doi.org/10.1017/jfm.2019.272openalex-snapshot
Identity of attached eddies in turbulent channel flows with bidimensional empirical mode decomposition
inferred← citeshttps://doi.org/10.1049/cim2.12064openalex-snapshot
State of the art on vibration signal processing towards data‐driven gear fault diagnosis
inferred← citeshttps://doi.org/10.1063/5.0070140openalex-snapshot
Review of adaptive decomposition-based data preprocessing for renewable generation rich power system applications
inferred← citeshttps://doi.org/10.1063/5.0081371openalex-snapshot
Numerical analysis of adaptive signal decomposition methods applied for ultrasonic gas flowmeters
inferred← citeshttps://doi.org/10.1063/5.0096613openalex-snapshot
Fault detection of rotating machinery based on marine predator algorithm optimized resonance-based sparse signal decomposition and refined composite multiscale fluctuation dispersion entropy
inferred← citeshttps://doi.org/10.1080/14484846.2020.1851868openalex-snapshot
Research on feature fusion strategy for gear states diagnosis based on fusion assessment
inferred← citeshttps://doi.org/10.1080/21642583.2025.2488120openalex-snapshot
A survey on learning from data with label noise via deep neural networks
inferred← citeshttps://doi.org/10.1088/1361-6501/ab3361openalex-snapshot
Fractional iterative variational mode decomposition and its application in fault diagnosis of rotating machinery
inferred← citeshttps://doi.org/10.1088/1361-6501/abf9d6openalex-snapshot
Application of an information fusion scheme for rolling element bearing fault diagnosis
inferred← citeshttps://doi.org/10.1088/1361-6501/ac919bopenalex-snapshot
Multivariate time-varying complex signal processing framework and its application in rotating machinery rotor-bearing system
inferred← citeshttps://doi.org/10.1088/1361-6501/ad1db0openalex-snapshot
Nonlinear and nonstationary detection and quantification of multi-scale measured signals for bridge structure
inferred← citeshttps://doi.org/10.1088/1361-6501/ad7b69openalex-snapshot
Energy bubble entropy guided symplectic geometry mode decomposition for rotating machinery incipient fault feature extraction
inferred← citeshttps://doi.org/10.1088/1742-6596/1820/1/012069openalex-snapshot
Early fault diagnosis of rolling bearings based on signal reconstruction through SDD-SVD and FWEO
inferred← citeshttps://doi.org/10.1088/1757-899x/844/1/012057openalex-snapshot
Characterization of the mechanical vibration signals associated with unbalance and misalignment in rotating machines, using the cepstrum transformation and the principal component analysis
inferred← citeshttps://doi.org/10.1109/access.2019.2923689openalex-snapshot
Random Noise Suppression of Magnetic Resonance Sounding Oscillating Signal by Combining Empirical Mode Decomposition and Time-Frequency Peak Filtering
inferred← citeshttps://doi.org/10.1109/access.2019.2945369openalex-snapshot
Complex Singular Spectrum Decomposition and its Application to Rotating Machinery Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/access.2020.3043743openalex-snapshot
Fault Diagnosis of Rotating Machinery: A Review and Bibliometric Analysis
inferred← citeshttps://doi.org/10.1109/access.2021.3112605openalex-snapshot
Siamese Distinguishing Features Attentional Enhancement Transfer Fault Diagnosis Method for Variable Rotational Speed
inferred← citeshttps://doi.org/10.1109/access.2022.3147039openalex-snapshot
A Novel Symmetric Stacked Autoencoder for Adversarial Domain Adaptation Under Variable Speed
inferred← citeshttps://doi.org/10.1109/access.2022.3229586openalex-snapshot
Fast Detection of Weak Arc Faults Based on Progressive Singular-Value-Decomposition and Empirical Analyses
inferred← citeshttps://doi.org/10.1109/access.2023.3324961openalex-snapshot
Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series
inferred← citeshttps://doi.org/10.1109/access.2024.3392768openalex-snapshot
Transfer Diagnosis Model of Internal Combustion Engine With Embedded Vibration Signal Impact Decomposition
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/aees63781.2024.10872571openalex-snapshot
Wind Turbine Blade Fault Prediction Based on EEMD-HHT and CBCNN
inferred← citeshttps://doi.org/10.1109/dicct56244.2023.10110130openalex-snapshot
Design of Frequency Domain Metric for Evaluation of Mode Decomposition Algorithms
inferred← citeshttps://doi.org/10.1109/eecr64516.2025.11077219openalex-snapshot
A Two-Stage Optimization Model for Mixed Energy Storage Allocation
inferred← citeshttps://doi.org/10.1109/icmae56000.2022.9852898openalex-snapshot
Nonlinear Acoustic Oscillation Analysis Method Based on Improved Variational Mode Decomposition
inferred← citeshttps://doi.org/10.1109/icocn55511.2022.9900981openalex-snapshot
Landslide Displacement Prediction Based on Variational Mode Decomposition and LSTM
inferred← citeshttps://doi.org/10.1109/icphm53196.2022.9815828openalex-snapshot
Identification of vehicle response features for onboard diagnosis of vehicle running instability
inferred← citeshttps://doi.org/10.1109/icsmd50554.2020.9261694openalex-snapshot
Research on Multivariate Variational Mode Decomposition Method and Its Application to Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/icspis48135.2019.9045901openalex-snapshot
Partial Discharge Signal Denoising based on VMD and Group-Sparse TV Denoising
inferred← citeshttps://doi.org/10.1109/jsen.2021.3050718openalex-snapshot
Applications of Digital Signal Processing in Monitoring Machining Processes and Rotary Components: A Review
inferred← citeshttps://doi.org/10.1109/jsen.2026.3663654openalex-snapshot
A Novel Balanced Adaptive Logit-Compensated Quadratic Network for Bearing Fault Diagnosis Under Long-Tailed Data Scenarios
inferred← citeshttps://doi.org/10.1109/phm-xian66756.2025.11427398openalex-snapshot
Fault Diagnosis of Rolling Bearing Using Improved Robust Local Mean Decomposition Method
inferred← citeshttps://doi.org/10.1109/piers62282.2024.10618286openalex-snapshot
Improved Variational Mode Decomposition for Contactless Heartbeat Monitoring
inferred← citeshttps://doi.org/10.1109/powertech46648.2021.9494761openalex-snapshot
Detection of Oscillatory Modes in Power Systems using Empirical Wavelet Transform
inferred← citeshttps://doi.org/10.1109/ropec.2018.8661426openalex-snapshot
Experimental Validation of the Broken Rotor Bar Fault Evolution in Line-Fed Induction Motors
inferred← citeshttps://doi.org/10.1109/sdemped53223.2025.11154266openalex-snapshot
Application of Signal Decomposition Methods for Axial Flux PMSM Demagnetization Feature Extraction and Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/sdpc49476.2020.9353119openalex-snapshot
Demodulation Analysis Based on Fourier Decomposition Method and its Application for Gearbox Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2021.3105252openalex-snapshot
The Variational Kernel-Based 1-D Convolutional Neural Network for Machinery Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2022.3160551openalex-snapshot
Faulty Bearing Signal Analysis With Empirical Morphological Undecimated Wavelet
inferred← citeshttps://doi.org/10.1109/tim.2022.3160553openalex-snapshot
Gas–Liquid Flow Behavior Analysis Based on Phase–Amplitude Coupling and ERT
inferred← citeshttps://doi.org/10.1109/tim.2022.3167721openalex-snapshot
Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2025.3619659openalex-snapshot
Research on Probabilistic Contrastive Learning and Quadratic Convolutional Neural Network for Intelligent Diagnosis of Long-Tailed Bearing Data
inferred← citeshttps://doi.org/10.1109/tmech.2022.3206435openalex-snapshot
Intelligent Informative Frequency Band Searching Assisted by a Dynamic Bandit Tree Method for Machine Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tmech.2025.3644347openalex-snapshot
A Smart Sensor-Based Bearing Fault Detection Technology
inferred← citeshttps://doi.org/10.1109/tsp.2018.2869121openalex-snapshot
The Instantaneous Spectrum: A General Framework for Time-Frequency Analysis
inferred← citeshttps://doi.org/10.1109/tsp.2023.3271023openalex-snapshot
Adaptive Decomposition of Multicomponent Signals and Estimation of Phase Synchronization
inferred← citeshttps://doi.org/10.1111/exsy.12801openalex-snapshot
Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions
inferred← citeshttps://doi.org/10.11114/set.v8i1.5213openalex-snapshot
Rotor Unbalance Kind and Severity Identification by Current Signature Analysis with Adaptative Update to Multiclass Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1115/1.4065767openalex-snapshot
Identifying Inner Race Faults in Deep Groove Ball Bearing Using Nonlinear Mode Decomposition and Hilbert Transform
inferred← citeshttps://doi.org/10.1134/s1061830922060122openalex-snapshot
Non-Stationary Thermal Wave Mode Decomposition: A Comparative Study of EMD, HVD, and VMD for Defect Detection
inferred← citeshttps://doi.org/10.1142/s0219477522500432openalex-snapshot
A Piecewise Nonlinear Tri-Stable Stochastic Resonance System and its Application in Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1155/2019/7905674openalex-snapshot
Bearing Fault Diagnosis with Kernel Sparse Representation Classification Based on Adaptive Local Iterative Filtering‐Enhanced Multiscale Entropy Features
inferred← citeshttps://doi.org/10.1155/2020/4973941openalex-snapshot
An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis
inferred← citeshttps://doi.org/10.1155/2020/5162916openalex-snapshot
An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1155/2020/6096024openalex-snapshot
Rolling Bearing Fault Diagnosis Based on Adaptive Multiparameter-Adjusting Bistable Stochastic Resonance
inferred← citeshttps://doi.org/10.1155/2021/2744193openalex-snapshot
Fault Frequency Identification of Rolling Bearing Using Reinforced Ensemble Local Mean Decomposition
inferred← citeshttps://doi.org/10.1177/1077546319877711openalex-snapshot
An integrated method based on refined composite multivariate hierarchical permutation entropy and random forest and its application in rotating machinery
inferred← citeshttps://doi.org/10.1177/1461348420908364openalex-snapshot
Composite fault diagnosis of gearbox based on empirical mode decomposition and improved variational mode decomposition
inferred← citeshttps://doi.org/10.1177/14613484221129754openalex-snapshot
Refined composite multiscale fuzzy entropy based fault diagnosis of diesel engine
inferred← citeshttps://doi.org/10.1177/1475921719887496openalex-snapshot
Fine-tuned variational mode decomposition for fault diagnosis of rotary machinery
inferred← citeshttps://doi.org/10.1177/1475921720970856openalex-snapshot
An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis
inferred← citeshttps://doi.org/10.1177/1475921720978622openalex-snapshot
Fault state recognition of wind turbine gearbox based on generalized multi-scale dynamic time warping
inferred← citeshttps://doi.org/10.1177/14759217221108525openalex-snapshot
Initial parameter guided variational mode extraction for damage detection of wind turbine bearing
inferred← citeshttps://doi.org/10.1177/14759217241256130openalex-snapshot
Detection of seeded fault and growing fault in rotating machinery under different speed scenarios using adaptive resonance-based signal sparse decomposition
inferred← citeshttps://doi.org/10.1177/14759217251370325openalex-snapshot
Missing data imputation and fault classification using generative and transfer learning techniques for a wind turbine gearbox with sensor malfunctions
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1631/jzus.a2200555openalex-snapshot
Fault diagnosis for gearboxes based on Fourier decomposition method and resonance demodulation
inferred← citeshttps://doi.org/10.17531/ein/191461openalex-snapshot
Wear state identification of ball screw meta action unit based on parameter optimization VMD and improved Bilstm
inferred← citeshttps://doi.org/10.20855/ijav.2022.27.11827openalex-snapshot
Rolling Bearing Fault Feature Extraction Using Local Maximum Synchrosqueezing Transform and Global Fuzzy Entropy
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1969644/v1openalex-snapshot
Landslide displacement prediction based on Variational Mode Decomposition and Temporal Convolutional Network
inferred← citeshttps://doi.org/10.21595/jve.2019.20794openalex-snapshot
An improved higher-order analytical energy operator with adaptive local iterative filtering for early fault diagnosis of bearings
inferred← citeshttps://doi.org/10.21629/jsee.2019.04.17openalex-snapshot
Review of local mean decomposition and its application in fault diagnosis of rotating machinery
inferred← citeshttps://doi.org/10.23919/jsee.2022.000052openalex-snapshot
Unintentional modulation microstructure enlargement
inferred← citeshttps://doi.org/10.28948/ngumuh.1330864openalex-snapshot
A New Bearing Fault Diagnosis Approach based on Common Spatial Pattern Features
inferred← citeshttps://doi.org/10.3390/app13148239openalex-snapshot
Vibration-Based Detection of Bearing Damages in a Planetary Gearbox Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/app8091441openalex-snapshot
Study on EEMD-Based KICA and Its Application in Fault-Feature Extraction of Rotating Machinery
inferred← citeshttps://doi.org/10.3390/coatings11121459openalex-snapshot
A Fault Diagnosis Method Based on EEMD and Statistical Distance Analysis
inferred← citeshttps://doi.org/10.3390/e20120926openalex-snapshot
Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine
inferred← citeshttps://doi.org/10.3390/e21050476openalex-snapshot
Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy
inferred← citeshttps://doi.org/10.3390/e23121567openalex-snapshot
Enhanced Partial Discharge Signal Denoising Using Dispersion Entropy Optimized Variational Mode Decomposition
inferred← citeshttps://doi.org/10.3390/e24050681openalex-snapshot
A Novel Method for Fault Diagnosis of Rotating Machinery
inferred← citeshttps://doi.org/10.3390/e24101381openalex-snapshot
A New Method of Wheelset Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.3390/e28070783openalex-snapshot
Balanced Adaptive Logit-Compensated Cross-Entropy and Quadratic Convolutional Network for Intelligent Fault Diagnosis Under Long-Tailed Data Distribution
inferred← citeshttps://doi.org/10.3390/electronics9071157openalex-snapshot
End-to-End Noisy Speech Recognition Using Fourier and Hilbert Spectrum Features
inferred← citeshttps://doi.org/10.3390/forecast7030046openalex-snapshot
Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model
inferred← citeshttps://doi.org/10.3390/info15100606openalex-snapshot
Fall Detection Based on Data-Adaptive Gaussian Average Filtering Decomposition and Machine Learning
inferred← citeshttps://doi.org/10.3390/machines13100968openalex-snapshot
Mixed Eccentricity Fault Detection of Induction Motors Based on Variational Mode Decomposition of Current Signal
inferred← citeshttps://doi.org/10.3390/pr11020303openalex-snapshot
A New Method of Tractor Engine State Identification Based on Vibration Characteristics
inferred← citeshttps://doi.org/10.3390/rs13234919openalex-snapshot
A Specific Emitter Identification Algorithm under Zero Sample Condition Based on Metric Learning
inferred← citeshttps://doi.org/10.3390/rs14061308openalex-snapshot
Application of a Modified Empirical Wavelet Transform Method in VLF/LF Lightning Electric Field Signals
inferred← citeshttps://doi.org/10.3390/s18072120openalex-snapshot
A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications
inferred← citeshttps://doi.org/10.3390/s19030524openalex-snapshot
Weak Degradation Characteristics Analysis of UAV Motors Based on Laplacian Eigenmaps and Variational Mode Decomposition
inferred← citeshttps://doi.org/10.3390/s21051825openalex-snapshot
A Comparative Analysis of Signal Decomposition Techniques for Structural Health Monitoring on an Experimental Benchmark
inferred← citeshttps://doi.org/10.3390/s21196497openalex-snapshot
Mapping Relation between Contour Error Components of Crankshaft Pin Journal and Axis Position Control Error of Oscillating Grinding Machine
inferred← citeshttps://doi.org/10.3390/s22134705openalex-snapshot
A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions
inferred← citeshttps://doi.org/10.36001/phmconf.2019.v11i1.787openalex-snapshot
Order Tracking Using Variational Mode Decomposition to Detect Gear Faults under Speed Fluctuations
inferred← citeshttps://doi.org/10.36227/techrxiv.171177312.27398605/v1openalex-snapshot
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
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.