Reference health
Acoustic Diagnosis of Rolling Bearings Fault Based on Sfffa and Convolutional Neural Network
24/24 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.
21 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 24 checked references that resolve
resolves10.1109/RRCON.1998.668098
On-board real-time railroad bearing defect detection and monitoring
resolves10.1016/j.ymssp.2019.02.051
Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review
resolves10.1016/j.measurement.2019.04.049
Fault diagnosis of sun gear based on continuous vibration separation and minimum entropy deconvolution
resolves10.1016/j.jsv.2016.02.021
Detection of gear cracks in a complex gearbox of wind turbines using supervised bounded component analysis of vibration signals collected from multi-channel sensors
resolves10.1016/j.measurement.2017.12.012
Hurst based vibro-acoustic feature extraction of bearing using EMD and VMD
resolves10.1016/j.ymssp.2018.07.044
Fault diagnosis of single-phase induction motor based on acoustic signals
resolves10.1115/1.2948413
Monitoring the Onset and Propagation of Natural Degradation Process in a Slow Speed Rolling Element Bearing With Acoustic Emission
resolves10.1016/j.measurement.2017.08.036
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
resolves10.1016/S0301-679X(99)00077-8
A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
resolves10.4028/www.scientific.net/AMR.819.171
Research on Feature Extraction of Acoustic Emission Signals in Time-Domain
resolves10.1098/rspa.1998.0193
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
resolves10.1142/S1793536909000047
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
resolves10.1016/j.jsv.2017.12.028
An optimized time varying filtering based empirical mode decomposition method with grey wolf optimizer for machinery fault diagnosis
resolves10.1016/j.isatra.2018.12.002
Application of EEMD and improved frequency band entropy in bearing fault feature extraction
resolves10.1016/j.eswa.2013.01.033
Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN
resolves10.1016/j.jsv.2012.03.008
A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix
resolves10.1016/j.ymssp.2018.02.016
Artificial intelligence for fault diagnosis of rotating machinery: A review
resolves10.1016/j.ymssp.2018.04.038
A data indicator-based deep belief networks to detect multiple faults in axial piston pumps
resolves10.1007/978-981-10-7605-3_4
Bearing Fault Diagnosis Based on Convolutional Neural Networks with Kurtogram Representation of Acoustic Emission Signals
resolves10.1016/j.ymssp.2007.01.006
Application of the EMD method in the vibration analysis of ball bearings
resolves10.1109/WCICA.2010.5554905
Resonant-frequency band choice for bearing fault diagnosis based on EMD and envelope analysis
resolves10.1016/j.ymssp.2005.12.002
Fast computation of the kurtogram for the detection of transient faults
resolves10.1016/j.measurement.2016.12.058
Enhancement of fault diagnosis of rolling element bearing using maximum kurtosis fast nonlocal means denoising
The 21 references without a DOI — listed, not checked
no DOI — not checkedParametric doppler correction analysis for wayside acoustic bearing fault diagnosis
no DOI — not checkedref3
no DOI — not checkedAcoustic wayside identification of freight car roller bearing defects
no DOI — not checkedA review of vibration analysis techniques for rotating machines
no DOI — not checkedGearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
no DOI — not checkedProgress in the study of acoustic emission for evaluation of pitting corrosion in metal
no DOI — not checkedA review of acoustic emission technique for machinery condition monitoring: defects detection & diagnostic
no DOI — not checkedref17
no DOI — not checkedref23
no DOI — not checkedref24
no DOI — not checkedref26
no DOI — not checkedRolling bearing fault feature extraction method based on ensemble empirical mode decomposition and kurtosis criterion
no DOI — not checkedBaoping Tang, and Qiyuan He. Deep convolution domainadversarial transfer learning for fault diagnosis of rolling bearings
no DOI — not checkedref35
no DOI — not checkedApplication of cross wavelet transform and wavelet coherence to geophysical time series
no DOI — not checkedref37
no DOI — not checkedref38
no DOI — not checkedImprovement of the emd method and applications in defect diagnosis of ball bearings
no DOI — not checkedBenefits of enhanced techniques combining negentropy, spectral correlation and kurtogram for bearing fault diagnosis
no DOI — not checkedRolling element bearings fault diagnosis based on correlated kurtosis kurtogram
no DOI — not checkedDeep residual learning for image recognition
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