Reference health
Enhancement of fault diagnosis of rolling element bearing using maximum kurtosis fast nonlocal means denoising
16/16 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.
3 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 16 checked references that resolve
resolves10.1016/j.ymssp.2004.09.001
The spectral kurtosis: a useful tool for characterising non-stationary signals
resolves10.1016/j.ymssp.2004.09.002
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
resolves10.1016/j.ymssp.2006.12.002
The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis
resolves10.1016/j.ymssp.2012.03.012
Multi-scale autocorrelation via morphological wavelet slices for rolling element bearing fault diagnosis
resolves10.1016/j.ymssp.2006.12.004
Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transform
resolves10.1016/j.measurement.2012.02.030
An insight concept to select appropriate IMFs for envelope analysis of bearing fault diagnosis
resolves10.1016/j.ymssp.2010.03.010
Multiwavelet denoising with improved neighboring coefficients for application on rolling bearing fault diagnosis
resolves10.3390/s150101182
Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum
resolves10.1016/j.ymssp.2016.03.010
Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing
resolves10.1049/iet-smt.2014.0023
Rolling element bearing fault diagnosis based on non‐local means de‐noising and empirical mode decomposition
resolves10.1049/iet-smt.2014.0228
Bearing‐fault diagnosis using non‐local means algorithm and empirical mode decomposition‐based feature extraction and two‐stage feature selection
The 3 references without a DOI — listed, not checked
no DOI — not checkedRolling element bearing fault diagnosis based on multiscale general fractal features
no DOI — not checkedFast nonlocal filtering applied to electron cryomicroscopy
no DOI — not checkedK.A. Loparo, ‘Bearing data center, <http://csegroups.case.edu/bearingdatacenter/home>, Case Western Reserve University Bearing Data Center, (accessed 2015).
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work were clean at the dated check: each resolved to a known work in a public registry, and none
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