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Extraction of repetitive transients with frequency domain multipoint kurtosis for bearing fault diagnosis

https://doi.org/10.1088/1361-6501/aaae99

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis

inferredcites →https://doi.org/10.1016/j.sigpro.2013.05.013openalex-snapshot

Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection

inferredcites →https://doi.org/10.1016/j.ymssp.2005.12.002openalex-snapshot

Fast computation of the kurtogram for the detection of transient faults

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A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram

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Rolling element bearing diagnostics—A tutorial

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Application of an improved kurtogram method for fault diagnosis of rolling element bearings

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Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection

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An enhanced Kurtogram method for fault diagnosis of rolling element bearings

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Detecting of transient vibration signatures using an improved fast spatial–spectral ensemble kurtosis kurtogram and its applications to mechanical signature analysis of short duration data from rotating machinery

inferredcites →https://doi.org/10.1016/j.ymssp.2013.05.018openalex-snapshot

The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection

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The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as “Two automatic vibration-based fault diagnostic methods using the novel sparsity measurement – Parts 1 and 2”

inferredcites →https://doi.org/10.1016/j.ymssp.2015.04.021openalex-snapshot

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

inferredcites →https://doi.org/10.1016/j.ymssp.2015.04.034openalex-snapshot

The infogram: Entropic evidence of the signature of repetitive transients

inferredcites →https://doi.org/10.1016/j.ymssp.2015.04.039openalex-snapshot

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

inferredcites →https://doi.org/10.1016/j.ymssp.2016.02.064openalex-snapshot

Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram

inferredcites →https://doi.org/10.1016/j.ymssp.2016.04.022openalex-snapshot

An extension of the infograms to novel Bayesian inference for bearing fault feature identification

inferredcites →https://doi.org/10.1016/j.ymssp.2016.05.036openalex-snapshot

Multipoint Optimal Minimum Entropy Deconvolution and Convolution Fix: Application to vibration fault detection

inferredcites →https://doi.org/10.1016/j.ymssp.2016.11.003openalex-snapshot

Dynamic Bayesian wavelet transform: New methodology for extraction of repetitive transients

inferredcites →https://doi.org/10.1016/j.ymssp.2017.01.033openalex-snapshot

Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings

inferredcites →https://doi.org/10.1088/0957-0233/19/4/045105openalex-snapshot

Machine fault feature extraction based on intrinsic mode functions

inferredcites →https://doi.org/10.1088/0957-0233/27/12/125019openalex-snapshot

Rolling element bearing faults diagnosis based on kurtogram and frequency domain correlated kurtosis

inferredcites →https://doi.org/10.1109/tie.2015.2417501openalex-snapshot

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

inferredcites →https://doi.org/10.1109/tie.2015.2419013openalex-snapshot

A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches

inferredcites →https://doi.org/10.1155/2015/385412openalex-snapshot

A New Improved Kurtogram and Its Application to Bearing Fault Diagnosis

inferredcites →https://doi.org/10.5281/zenodo.38374openalex-snapshot

The Spectral Kurtosis Of Nonstationary Signals: Formalisation, Some Properties, And Application

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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