Fast Computation of the Autogram for the Detection of Transient Faults

[1]  P. D. McFadden,et al.  Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review , 1984 .

[2]  Qing Zhao,et al.  Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection , 2012 .

[3]  Radoslaw Zimroz,et al.  Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings , 2018 .

[4]  Peter W. Tse,et al.  An enhanced Kurtogram method for fault diagnosis of rolling element bearings , 2013 .

[5]  Robert B. Randall,et al.  Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications , 2011 .

[6]  Alessandro Paolo Daga,et al.  GA-Adaptive Template Matching for Offline Shape Motion Tracking Based on Edge Detection: IAS Estimation from the SURVISHNO 2019 Challenge Video for Machine Diagnostics Purposes , 2020, Algorithms.

[7]  Robert B. Randall,et al.  The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines , 2006 .

[8]  Dong Wang,et al.  Spectral L2 / L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals , 2018 .

[9]  Alessandro Paolo Daga,et al.  Machine Vibration Monitoring for Diagnostics through Hypothesis Testing , 2019, Inf..

[10]  Tomasz Barszcz,et al.  A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram , 2011 .

[11]  Jérôme Antoni,et al.  The infogram: Entropic evidence of the signature of repetitive transients , 2016 .

[12]  Alessandro Paolo Daga,et al.  The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data , 2019, Mechanical Systems and Signal Processing.

[13]  Peter W. Tse,et al.  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” , 2013 .

[14]  J. Antoni Cyclic spectral analysis in practice , 2007 .

[15]  J. Antoni Fast computation of the kurtogram for the detection of transient faults , 2007 .

[16]  Pietro Borghesani,et al.  A statistical methodology for the design of condition indicators , 2019, Mechanical Systems and Signal Processing.

[17]  Pietro Borghesani,et al.  Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools , 2019 .

[18]  J. Antoni,et al.  Detection of Surface Ships From Interception of Cyclostationary Signature With the Cyclic Modulation Coherence , 2012, IEEE Journal of Oceanic Engineering.

[19]  J. Antoni,et al.  Fast computation of the spectral correlation , 2017 .

[20]  Yaguo Lei,et al.  Application of an improved kurtogram method for fault diagnosis of rolling element bearings , 2011 .

[21]  J. Antoni Cyclic spectral analysis of rolling-element bearing signals : Facts and fictions , 2007 .

[22]  J. Antoni The spectral kurtosis: a useful tool for characterising non-stationary signals , 2006 .

[23]  Yonghao Miao,et al.  Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification , 2017 .

[24]  Alessandro Fasana,et al.  The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis , 2018 .

[25]  Robert B. Randall,et al.  Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study , 2015 .

[26]  Pietro Borghesani,et al.  The envelope-based cyclic periodogram , 2015 .

[27]  Pengcheng Jiang,et al.  Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis , 2017, Sensors.

[28]  Robert B. Randall,et al.  Rolling element bearing diagnostics—A tutorial , 2011 .

[29]  Alessandro Paolo Daga,et al.  Diagnosis of Faulty Wind Turbine Bearings Using Tower Vibration Measurements , 2020, Energies.

[30]  Dong Wang,et al.  Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients , 2018 .