Reference health

Application of EEMD and improved frequency band entropy in bearing fault feature extraction

https://doi.org/10.1016/j.isatra.2018.12.002
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31/31 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

14 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 31 checked references that resolve
resolves10.1016/j.isatra.2014.08.007
Application of higher order spectral features and support vector machines for bearing faults classification
resolves10.1109/TII.2015.2500098
Bearing Defect Classification Based on Individual Wavelet Local Fisher Discriminant Analysis with Particle Swarm Optimization
resolves10.1016/j.ymssp.2018.08.056
Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy
resolves10.1016/j.proeng.2011.08.125
Fault Diagnosis System of Rotating Machinery Vibration Signal
resolves10.1006/mssp.2000.1338
A COMPARATIVE STUDY OF ACOUSTIC AND VIBRATION SIGNALS IN DETECTION OF GEAR FAILURES USING WIGNER–VILLE DISTRIBUTION
resolves10.1016/j.isatra.2018.05.017
Incipient fault feature extraction of rolling bearings based on the MVMD and Teager energy operator
resolves10.1016/j.ymssp.2007.01.006
Application of the EMD method in the vibration analysis of ball bearings
resolves10.3390/s140815022
Fault Detection of a Roller-Bearing System through the EMD of a Wavelet Denoised Signal
resolves10.1016/j.isatra.2014.06.002
Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis
resolves10.1142/S1793536909000047
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
resolves10.3901/JME.2011.05.071
Machinery Fault Diagnosis Based on Improved Hilbert-Huang Transform
resolves10.1016/j.ymssp.2016.10.028
Bearing damage assessment using Jensen-Rényi Divergence based on EEMD
resolves10.1039/C7RA13202F
A UV-visible absorption spectrum denoising method based on EEMD and an improved universal threshold filter
resolves10.1016/j.eswa.2010.12.095
EEMD method and WNN for fault diagnosis of locomotive roller bearings
resolves10.1016/j.ymssp.2013.07.009
Fault diagnosis of diesel engine based on adaptive wavelet packets and EEMD-fractal dimension
resolves10.1016/j.measurement.2015.05.007
Research of weak fault feature information extraction of planetary gear based on ensemble empirical mode decomposition and adaptive stochastic resonance
resolves10.3390/e18040112
A Hybrid EEMD-Based SampEn and SVD for Acoustic Signal Processing and Fault Diagnosis
resolves10.1016/j.jsv.2016.01.046
EEMD-based multiscale ICA method for slewing bearing fault detection and diagnosis
resolves10.1016/j.apacoust.2017.12.030
EEMD-based notch filter for induction machine bearing faults detection
resolves10.1016/j.asoc.2018.06.038
An integrated approach to bearing prognostics based on EEMD-multi feature extraction, Gaussian mixture models and Jensen-Rényi divergence
resolves10.1016/j.ymssp.2013.06.012
EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component
resolves10.1002/we.1653
Integration of EEMD and ICA for wind turbine gearbox diagnosis
resolves10.1016/j.jsv.2014.03.014
Fault identification of rotor-bearing system based on ensemble empirical mode decomposition and self-zero space projection analysis
resolves10.3390/s17112477
Fault Detection of Bearing Systems through EEMD and Optimization Algorithm
resolves10.1109/JSEN.2018.2830109
Fault Feature Selection and Diagnosis of Rolling Bearings Based on EEMD and Optimized Elman_AdaBoost Algorithm
resolves10.1016/0022-460X(84)90595-9
Model for the vibration produced by a single point defect in a rolling element bearing
resolves10.1016/j.measurement.2006.10.010
A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM
resolves10.1177/0954406212441886
The fault detection and diagnosis in rolling element bearings using frequency band entropy
resolves10.1109/LSP.2003.821662
Empirical Mode Decomposition as a Filter Bank
resolves10.1016/j.jsv.2007.02.029
Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions
resolves10.1016/j.ymssp.2004.09.002
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
The 14 references without a DOI — listed, not checked
no DOI — not checkedFault detection enhancement in rolling element bearings via peak-based multiscale decomposition and envelope demodulation
no DOI — not checkedAccelerometers for shock and vibration measurements, vibration testing-instrumentation & data analysis; fifth national vibrations conference
no DOI — not checkedWeak fault signature extraction of rotating machinery using flexible analytic wavelet transform
no DOI — not checkedThe empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
no DOI — not checkedon the influence of sampling on the empirical mode decomposition
no DOI — not checkedRolling bearing fault feature extraction method based on ensemble empirical mode decomposition and Kurtosis criterion
no DOI — not checkedFault diagnosis for rolling bearing of wind turbine based on improved HHT
no DOI — not checkedApplication in feature extraction of AE signal for rolling bearing in EEMD and cloud similarity measurement
no DOI — not checkedResearch of fault diagnosis based on sensitive intrinsic mode function selection of EEMD and adaptive stochastic resonance
no DOI — not checkedAdaptive multiscale noise control enhanced stochastic resonance method based on modified EEMD with its application in bearing fault diagnosis
no DOI — not checkedFault diagnosis of rotating machinery based on adaptive stochastic resonance and AMD-EEMD
no DOI — not checkedApplication of single channel blind separation algorithm based on EEMD-PCA-RobustICA in bearing fault diagnosis
no DOI — not checkedThe fault feature extraction of rolling bearing based on EMD and difference spectrum of singular value
no DOI — not checkedhttp://www.cwru.edu/laboratory/bearing/welcome_overview.htm.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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