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The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

Mechanical systems and signal processing, 2014-02, Vol.43 (1-2), p.25-43

2014

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The infogram: Entropic evidence of the signature of repetitive transients

Mechanical systems and signal processing, 2016-06, Vol.74, p.73-94

Antoni, Jerome

2016

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Adaptive Kurtogram and its applications in rolling bearing fault diagnosis

Mechanical systems and signal processing, 2019-09, Vol.130, p.87-107

2019

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A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences

Mechanical systems and signal processing, 2021-05, Vol.153, p.107498, Article 107498

2021

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An adaptive reweighted-Kurtogram for bearing fault diagnosis under strong external impulse noise

Structural health monitoring, 2024-02

2024

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A novel Fast Entrogram and its applications in rolling bearing fault diagnosis

Mechanical systems and signal processing, 2021-06, Vol.154, p.107582, Article 107582

2021

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Reweighted-Kurtogram with sub-bands rearranged and ensemble dual-tree complex wavelet packet transform for bearing fault diagnosis

Structural health monitoring, 2022-11, Vol.21 (6), p.2951-2967

2022

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The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis

Mechanical systems and signal processing, 2018-05, Vol.105, p.294-318

2018

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Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools

Mechanical systems and signal processing, 2019-12, Vol.134, p.106303, Article 106303

2019

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Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis

Mechanical systems and signal processing, 2020-08, Vol.142, p.106755, Article 106755

2020

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Wind turbine high-speed shaft bearings health prognosis through a spectral Kurtosis-derived indices and SVR

Applied acoustics, 2017-05, Vol.120, p.1-8

2017

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Research on sparsity indexes for fault diagnosis of rotating machinery

Measurement : journal of the International Measurement Confederation, 2020-07, Vol.158, p.107733, Article 107733

2020

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Application of an enhanced fast kurtogram based on empirical wavelet transform for bearing fault diagnosis

Measurement science & technology, 2019-03, Vol.30 (3), p.35001

2019

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Time–frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis

Mechanical systems and signal processing, 2018-03, Vol.103, p.60-75

2018

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Cyclogram: an effective method for selecting frequency bands for fault diagnosis of rolling element bearings

Measurement science & technology, 2023-09, Vol.34 (9), p.94003

2023

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An enhanced Kurtogram method for fault diagnosis of rolling element bearings

Mechanical systems and signal processing, 2013-02, Vol.35 (1-2), p.176-199

2013

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Enhanced generalized nonlinear sparse spectrum based on dual-tree complex wavelet packet transform for bearing fault diagnosis

Measurement science & technology, 2023-05, Vol.34 (5), p.55109

2023

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Detection of defects in a bearing by analysis of vibration signals

Diagnostyka, 2023-03, Vol.24 (2), p.1-7

2023

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Fast Cmspogram: An effective new tool for periodic pulse detection

Mechanical systems and signal processing, 2024-03, Vol.209, p.111094, Article 111094

2024

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Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating Machine fault diagnosis

Mechanical systems and signal processing, 2023-05, Vol.191, p.110200, Article 110200

2023

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On-line chatter detection in milling using fast kurtogram and frequency band power

European journal of mechanics, A, Solids, 2021-11, Vol.90, p.104341, Article 104341

2021

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Fast computation of the kurtogram for the detection of transient faults

Mechanical systems and signal processing, 2007, Vol.21 (1), p.108-124

Antoni, Jérôme

2007

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Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis

Mechanical systems and signal processing, 2017-10, Vol.95, p.468-487

2017

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DTMSgram: a novel optimal demodulation frequency band selection method for wheelset bearings fault diagnosis under wheel-rail excitation

Measurement science & technology, 2024-04, Vol.35 (4), p.45105

2024

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Benefits of Mann–Kendall trend analysis for vibration-based condition monitoring

Mechanical systems and signal processing, 2024-07, Vol.216, p.111486, Article 111486

2024

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The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

The infogram: Entropic evidence of the signature of repetitive transients

Adaptive Kurtogram and its applications in rolling bearing fault diagnosis

A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences

An adaptive reweighted-Kurtogram for bearing fault diagnosis under strong external impulse noise

A novel Fast Entrogram and its applications in rolling bearing fault diagnosis

Reweighted-Kurtogram with sub-bands rearranged and ensemble dual-tree complex wavelet packet transform for bearing fault diagnosis

The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis

Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools

Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis

Wind turbine high-speed shaft bearings health prognosis through a spectral Kurtosis-derived indices and SVR

Research on sparsity indexes for fault diagnosis of rotating machinery

Application of an enhanced fast kurtogram based on empirical wavelet transform for bearing fault diagnosis

Time–frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis

Cyclogram: an effective method for selecting frequency bands for fault diagnosis of rolling element bearings

An enhanced Kurtogram method for fault diagnosis of rolling element bearings

Enhanced generalized nonlinear sparse spectrum based on dual-tree complex wavelet packet transform for bearing fault diagnosis

Detection of defects in a bearing by analysis of vibration signals

Fast Cmspogram: An effective new tool for periodic pulse detection

Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating Machine fault diagnosis

On-line chatter detection in milling using fast kurtogram and frequency band power

Fast computation of the kurtogram for the detection of transient faults

Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis

DTMSgram: a novel optimal demodulation frequency band selection method for wheelset bearings fault diagnosis under wheel-rail excitation

Benefits of Mann–Kendall trend analysis for vibration-based condition monitoring

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